Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4, 1992-2011 2024 Publisher: Learning Gate DOI: 10.55214/25768484.v8i4.1577 © 2024 by the authors; licensee Learning Gate © 2024 by the authors; licensee Learning Gate * Correspondence: natalia.bodnar@ruc.edu.iq Technological innovations and sustainability: Shaping the future of smart cities in urban planning Hanan Mahmood Shukur Ali1, Sirwan Kareem Jalal2, Maher Waleed Saab3, Sharmeen Izzat Hassan4, Nataliia Bodnar5*, Saif Saad Ahmed6, Salama Idris Mustafa7, Pirmatov Abdymanap Ziiaidinovich8 1AL-Kitab University, Kirkuk, Iraq; hanan.m.shukur@uoalkitab.edu.iq (H.M.S.A.) 2Al-Qalam University College, Kirkuk, Iraq; sirwan.jalal@alqalam.edu.iq (S.K.J.) 3Al-Nukhba University College, Baghdad, Iraq; maher.wa@alnukhba.edu.iq (M.W.S.) 4College of Engineering, Knowledge University, Erbil, Iraq; sharmeen.hassan@knu.edu.iq (S.I.H.) 5Al-Rafidain University College, Baghdad, Iraq; natalia.bodnar@ruc.edu.iq (N.B.) 6Al-Turath University, Baghdad, Iraq; saif.saad@turath.edu.iq (S.S.A.) 7Alnoor University, Nineveh, Iraq; salama.ideis@alnoor.edu.iq (S.I.M.) 8Osh State University, Osh, Kyrgyzstan; pirmatov@oshsu.kg (P.A.Z.) Abstract: Smart cities have surfaced as pioneers in new urban planning practices during this era of increased urbanization rates. These advanced technologies have been implemented to improve life and solve many problems we are facing nowadays. This study seeks to investigate smart cities that can be developed in their advantages and disadvantages, as well as opportunities and threats. The main goal is to make technology more evenly accessible and utilizable within different urban neighborhoods. Our approach to analysing smart cities is multidisciplinary, including several sectors like urban planning, green city programmes, innovative urban enterprises, and information and communication technology (ICT). The study introduces eight novel models and integrates them into a comprehensive framework to assess smart cities, offering several possible applications. Findings indicate that digital technology and the Internet of Things (IoT) can significantly transform urban dynamics, per the findings. Conversely, they emphasise significant security, privacy, and economic parity concerns. The success and widespread implementation of innovative city projects will depend on how these challenges are resolved. It is imperative to tackle these issues to ensure the ongoing feasibility of intelligent cities as a viable choice for urban development. This study emphasises the need for a well-rounded approach that maximises benefits and minimises risks to promote inclusive, safe, and equitable urban environments via smart city advancements. Keywords: Data-driven, Infrastructure, IoT, Innovation, Smart cities, Sustainability, Technology, Trend, Urban development, Urbanization. 1. Introduction Smart cities are transforming urban life and providing a cutting-edge answer to the challenges globalisation brings. A smart city uses advanced technology to optimise municipal operations and foster sustainable growth, as described by Albino et al.[1], Moreover, it was further expounded upon by Deloitte [2]. This smart city idea aims to enhance the city's efficiency and quality of life using Information and Communication Technology (ICT). According to IBM, a smart city is a geographical region where computer systems monitor and integrate essential data from various urban systems [3]. It demonstrates an effective and coordinated local government by acting as a miniature version of the "smart planet" idea. Smart cities strive to adapt intelligently to various needs, including environmental sustainability, public safety, municipal services, 1993 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate economic activity, and everyday living [1], [2], [3], [4]. It is impacted by the Internet of Things (IoT), incorporating digital networks, and managing urban resources [5]. Figure 1 of the paper provides a detailed depiction of this fundamental design. According to Hughes [6], Barcelona has successfully adopted smart city projects such as digital bus routes and intelligent lights, significantly improving public transit and energy efficiency. Like Singapore, a country famous for its smart city initiatives, Shamsuzzoha et al. [7] note that the country has integrated technology into its infrastructure, transportation, healthcare, and transportation systems. Intelligent technologies can significantly change urban surroundings, making them more adaptable, efficient, and livable. These communities exemplify this phenomenon. Barcelona's public services have been significantly transformed using intelligent waste management systems and the Internet of Things [8]. These measures have enhanced the well-being of the population by improving operational efficiency. Based on the research conducted by Joss et al. [9] and Vanolo [10], technology can make urban operations more efficient. Singapore's use of intelligent traffic management and e-government services is remarkable. Despite the clear advantages, smart city efforts have several drawbacks, particularly regarding security, privacy, and socioeconomic disparity [3], [11]. For the implementation of smart cities to be successful, it is essential to effectively resolve these concerns, as indicated by Conley [4]. To enhance the environmental and social effects of smart cities, it is crucial to integrate sustainable and green computing paradigms, as recommended by Karabetian et al. [12] and Othman et al. [13]. In essence, the intelligent planet model, shown via the idea of smart cities, has the potential to transform urban life fundamentally. Talebkhah et al. [5] and Kutty et al. [14] stress the need to holistically use advanced technology and sustainable techniques. Our study aims to thoroughly investigate these areas to provide readers with a complete comprehension of smart cities and their implications for the future of urban planning. Figure 1. Smart city: Technical architecture diagram. The foundation of a smart city is an all-encompassing digital metropolis, which provides a means of visible and quantifiable urban administration and operations. The concept behind the IoT is to outfit disparate things with sensors to create a network and then use high-powered computers and the cloud to bring everything together. An intelligent city results from a digital city and the Internet of Things working together. Smart cities and digital cities are related [5], as seen in Fig.2. 1994 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate Figure 2. Digital cities and smart city: Understanding the relationship. 1.1. Problem Statement Because of the dramatic rise in urbanisation, cities now confront unprecedented difficulties in meeting the needs of their residents and maintaining a good standard of living. As a result, "smart cities" have become a movement in urban planning to use advanced technology and data analysis to enhance urban systems and promote long-term sustainability. Although smart cities can potentially improve many aspects of life, there are still significant obstacles to overcome. In addition, there is a danger of increasing existing disparities if the benefits of new technologies are not dispersed evenly across all parts of society since implementing innovative city technology demands large expenditures. In order to guarantee that the advantages of new city technologies are shared fairly, "Smart cities as a trend of urban development" poses the issue of identifying and resolving the difficulties inherent in their introduction. 1.2. The Aim of the Article The article aims to explore the potential of smart city technologies and their impact on urban development and to identify strategies for addressing the challenges associated with their implementation. Specifically, the aim is to understand the key drivers and benefits of innovative city technologies and how they can be leveraged to improve urban infrastructure, services, and sustainability. At the same time, the aim is to identify the challenges and risks associated with implementing innovative city technologies, including privacy, security, and equity issues. Strategies for addressing these challenges and mitigating the risks associated with innovative city technologies will also be developed. Additionally, the aim is to ensure that the advantages of smart city technologies are dispersed relatively and equitably across all segments of society and that they do not exacerbate existing inequalities. The potential for collaboration between government, industry, and citizens to create more livable and sustainable cities through innovative city technologies will also be explored. 1995 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate Figure 3. Parts of a smart city. 2. Literature Review The idea of "smart cities" has undergone a significant transformation, progressing from a remote concept to a practical plan for urban growth. Academic institutes and urban planners are now investigating smart cities as a viable solution for the increasing issues caused by urbanisation. This literature review comprehensively analyses the present status of smart city research, including its achievements and shortcomings, using a wide range of views and research approaches. According to Albino, Berardi, and Dangelico [1], [3] smart communities aim to attain sustainable development objectives with technological advancement. Kutty et al. [14] propose a systems-thinking approach to effectively align smart city activities with the sustainable development goals set by the United Nations. Regarding decision-making in intelligent cities, Conley [4] emphasises the need to attain a balanced and harmonious state between technological progress and civic rights. Urban planning is also interested in integrating smart building technologies. Apanaviciene, Vanagas, and Fokaides [15] provide a new evaluation approach for integrating Smart Buildings into Smart Cities (SBISC). They emphasise the interconnectedness of building efficiency and overall urban sustainability. Bibri [16] thoroughly analyses the three stages that enable data-driven, smart, sustainable cities: instrumentation, datafication, and computerisation. Talebkhah et al. [5] provide a detailed analysis of how smart cities use Big Data and the Internet of Things (IoT), emphasising the possible benefits and drawbacks that result from the adoption of these technologies. Law and Lynch [17], as well as Ziosi et al. [11], thoroughly investigate the governance component of the progress of smart cities. They argue that for smart city governance to be effective, various urban stakeholders must work together, highlighting the significance of inclusive and collaborative strategies. Tan and Taeihagh [18] provide insights into the possible obstacles and advantages that arise in emerging nations by comprehensively analysing the literature on smart city management. 1996 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate Secinaro et al. [19] provide a hybrid paradigm for smart city efforts, highlighting the need to integrate human resources and technology. Following their views, Yigitcanlar et al. [20] put up a comprehensive paradigm that establishes a connection between the factors that drive the development of smart cities and the desired results. Joss et al. [9] and Shamsuzzoha et al. [7] examine the impact of smart cities on environmental concerns. They analyse participatory efforts that attempt to establish sustainable ecosystems in cities worldwide. The interactive and innovative techniques they use demonstrate the capacity of smart cities to take the lead in promoting sustainable urban development. Moreover, the literature is filled with discussions on smart cities' exact definition and extent. Many scholars have highlighted the significance of human and social capital, while others have concentrated on technical elements. Vanolo's discourse [10] provides an instance of the responsibilities of inhabitants in future smart cities, advocating for resident-centric and inclusive models. Ultimately, a comprehensive and unified approach to urban planning is necessary because of the wide range of viewpoints and methods in the existing literature on smart cities. A smart city, in its modern meaning, is distinguished by a strong focus on sustainability, governance, and social inclusion. Nevertheless, technical progress remains a crucial component. 3. Applying ITU-T Guidelines and ISO Standards to Smart City Studies Adherence to international standards and guidelines is critical in the expanding subject of smart cities. Standards set by the International Organisation for Standardisation (ISO) and recommendations issued by the International Telecommunication Union (ITU-T) are critical in directing the development, interoperability, and sustainability of smart city solutions. This study addresses the integration and use of such standards and recommendations in the context of smart city research, which has previously yet to be mentioned. ISO standards for smart cities, such as ISO 37122:2019 for "Sustainable cities and communities - Indicators for smart cities," give a framework for assessing the performance of innovative city programmes against sustainability objectives [Law, 2019 #1845], [He, 2022 #1833]. These standards help to define key performance indicators (KPIs) for several areas of smart cities, such as energy efficiency, water management, and public services, allowing cities to measure, manage, and improve their intelligent projects more efficiently. Similarly, ITU-T Recommendations, such as ITU-T Y.4903/L.1603, "Key Performance Indicators for Smart Sustainable Cities to Assess the Achievement of Sustainable Development Goals," provides guidance on how to use information and communication technologies (ICT) to achieve sustainable development goals (SDGs) in urban settings [Law, 2019 #1845], [He, 2022 #1833]. These ideas highlight the role of ICT in improving quality of life, fostering efficient urban management, and assuring environmental sustainability in smart cities. Including these standards and suggestions in our research demonstrates our dedication to following worldwide best practices in innovative city development. By embracing ISO standards and ITU-T Recommendations, our study can help the development of interoperable, scalable, and sustainable smart city solutions. This connection not only strengthens the legitimacy and relevance of our research but also makes it easier to collaborate with international stakeholders and policymakers working to advance the smart city agenda [Albino, 2015 #1834], [Conley, 2017 #1835], [Talebkhah, 2021 #805] 1997 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate Figure 1. Key standards framework for smart city development and sustainability. The article's methodology incorporates these criteria and suggestions into smart city projects' design and evaluation stages. This approach ensures that the solutions generated are not only innovative but also practical, sustainable, and in line with the overarching goals of improving urban living and fostering sustainable development [Shamsuzzoha, 2021 #1837], [A.Kutty, 2020 #1843], [Yigitcanlar, 2018 #1849]. Implementing ISO standards and ITU-T Recommendations into smart city research is critical to ensure that programmes are globally relevant, sustainable, and aligned with international best practices. Our research acknowledges and incorporates these standards as a fundamental component of our approach to researching and developing smart city solutions. 4. Sustainable and Green Computing Paradigms in Smart Cities Incorporating sustainable and eco-friendly computer paradigms into smart cities is increasingly seen as a crucial element of urban planning. These approaches aim to enhance urban residents' quality of life while reducing cities' environmental footprint. The literature comprehensively explains how these concepts are incorporated into the smart city framework. Othman et al. [13] emphasise the need to include privacy-aware data aggregation in healthcare systems that use green computing technologies built on the Internet of Things (IoT). The research demonstrates that smart cities can efficiently and durably manage delicate health data, highlighting the need for sustainability and privacy in smart healthcare systems. An essential concern in densely inhabited areas is the energy use of data centres; this approach is crucial for reducing that usage. Karabetian et al. [12] discuss the implementation of a cloud computing dimensionality workbench that is environmentally friendly, focusing on the dynamic allocation of resources. The study emphasises the need for green computing to handle the vast data smart cities generate effectively. An essential element of ensuring sustainability in smart cities is the efficient allocation of resources, which significantly reduces energy use. He et al. [21] conducted a bibliometric and systematic study of green smart cities that use optimisation algorithms and the Internet of Things. Their research emphasises the potential of these technologies to provide more environmentally friendly urban environments. The convergence of the Internet of Things (IoT) with green computing principles synergistically optimises water and energy utilisation in urban areas, mitigating their adverse environmental impact. 1998 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate The study indicates sustainable and environmentally friendly computing paradigms are essential to comprehensive, innovative city frameworks. They aim to address significant issues such as energy use, resource allocation, and ecological impact. By implementing these approaches, we can ensure that smart cities will unequivocally enhance urban people's quality of life while contributing to broader environmental and sustainability goals. For cities to become intelligent, environmentally friendly, and responsible in managing our planet's resources as they advance technologically, they must embrace sustainable and eco-friendly computing models. 5. Building Smart City Applications: Key Components The concept of a "smart city" embodies the possibilities of advanced urban planning. It rests upon three crucial pillars: infrastructure investment, an open platform for intelligent urban solutions, and the development of application systems. There is a significant national emphasis on constructing these three- tiered application systems, recognising their importance in shaping the future of cities. Today, the term "smart city" extends beyond its original association with defence and security, encompassing various applications and possibilities. It has become a comprehensive framework that addresses various aspects of urban development and enhancement, reflecting the growing interest and commitment towards building sustainable and innovative cities [22]. 5.1. Wireless City: Building a Connected Community A complete broadband internet network with Wi-Fi, WiMAX, Mesh capabilities, and a solid fibre- optic backbone may be constructed. This network will link the city smoothly through an enormous wireless base station, providing high bandwidth to serve a wide range of municipal administration and service systems. Residents, companies, visitors, and government organisations will all benefit from these technologies [Hashim, 2022 #4], [24]. This sophisticated network's prominent features include mobile wireless video monitoring, allowing real-time surveillance while on the go. Furthermore, the network enables mobile video conferencing, smooth virtual meetings, and cooperation. In times of crisis, the network's on-site disaster dispatching will be crucial, allowing prompt and effective responses to critical situations. During crises, the network will allow seamless on-the-fly communications, increasing overall disaster management skills [25]. As a consequence of these cutting-edge technologies, the city will benefit from a new connectivity, efficiency, and resiliency level. 5.2. Building a Smart Home: The Future of Living The IoT is the networked collection of sensors and other sensing technologies, such as RFID readers, infrared detectors, GPS trackers, laser scanners, and many more. Then, anything in one's life may be treated as a terminal and plugged into a network, allowing for easy user identification and administration and centralised and remote automation of mechanical and electrical equipment [26]. The intelligent management of lights and electrical devices and the smart alerting of home alarm signals are only two examples of how realising a "smart house" might be helpful. In the same breath, we can use the intelligent city's information technology successes, whether inside or outside [Talebkhah, 2021 #805], [Alshboul, 2021 #8], [Dickey, 2012 #9]. 1999 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate Figure 4. Smart home. 5.3. Building a Smart Transportation System A comprehensive broadband internet network can be established, incorporating Wi-Fi, WiMAX, Mesh capabilities, and a robust fibre-optic backbone. This network will enable the city to connect seamlessly through an extensive wireless base station, offering high bandwidth to support various urban administration and service systems. These systems will cater to the needs of residents, businesses, tourists, and government organisations [29]. Among the notable features of this advanced network is mobile wireless video monitoring, enabling real-time surveillance on the move. Additionally, the network facilitates video conferencing on the go, allowing for seamless virtual meetings and collaborations [30]. The network's on-the-spot emergency dispatching will prove invaluable, enabling swift and efficient responses to critical situations. Moreover, the network will enable seamless on-the-fly communications during crises, enhancing overall disaster management capabilities. With these cutting-edge features, the city will experience a new level of connectivity, efficiency, and resilience [31]. 5.4. Construction of the Smart Medical Treatment The Internet of Things revolutionises medical facilities by enabling digital libraries, efficient data storage, seamless information transfer, and collaborative sharing of internal medical data, drug information, personnel details, and administrative management [32]. This integration of IoT technologies empowers hospitals to pursue intelligent medical care and enhance the strategic management of medical resources. Innovative applications of IoT in healthcare offer tremendous potential, addressing challenges such as inadequate platform support, limited access to medical services, and risks to medical safety. Moreover, it caters to the growing demand for intelligent supervision and oversight of clinical records, medical inventory, and equipment while facilitating smart management of public health initiatives [33]. The transformative impact of IoT in medical settings promises to optimise healthcare operations, improve patient outcomes, and drive advancements in the medical field. 5.5. Building a Sustainable and Green City Creating a sustainable and eco-friendly city involves integrating various systems offered by different devices within the city's boundaries and utilising diverse monitoring and alert sources. By establishing a solid technical infrastructure, the city can efficiently gather, transmit, store, display, and control audio, video, and alarm data and enable seamless networking, interoperability, and mutual control of multiple devices and systems [34]. Additionally, this approach can facilitate alarm system integration and provide 2000 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate a user-friendly graphical interface for other programs, all in one comprehensive solution. This interconnected and compatible urban architecture lays the foundation for green cities prioritising sustainability and environmental consciousness [35]. 6. Methodology Establishing a governance structure is the primary step in building a Smart City. That involves bringing together all key stakeholders, including government officials, private sector representatives, and citizens, to ensure everyone has a voice in decision-making. The governance structure should establish clear communication channels and define the roles and responsibilities of each stakeholder. Once the governance structure is established, the next step is to identify and implement technology solutions that can address the challenges faced by the city [36]. That may involve using sensors, data analytics, and other technologies to improve energy management, waste management, transportation, and public safety. Figure 5. Sequential flow of database search process for smart city research. 2001 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate For example, a Smart City may implement a system of sensors and analytics to monitor and manage energy usage in buildings and public spaces, optimising energy consumption and reducing costs. A Smart City may also use data analytics to optimise waste collection routes and reduce the amount of waste sent to landfills. Intelligent public transportation can use analytics to improve traffic flow, reduce traffic jams, and make the roads safer for everyone [37]. Ultimately, the success of a Smart City depends on the effective integration of technology and governance. By establishing a governance structure that involves all stakeholders and implementing appropriate technology solutions, cities can improve the quality of life for their citizens, promote sustainability, and foster economic growth [Alshboul, 2021 #8], [38]. The study has varied and complicated hardware needs. The term "smart city" refers to using cutting- edge technology and data analysis to enhance urban life regarding utilities, amenities, and environmental sustainability. To do this, a wide range of gear is needed for data collection, transmission, processing, and storage [39]. Key pieces of hardware needed in smart cities include: Sensors: Smart cities need many sensors to monitor weather, traffic, pedestrian footfall, energy use, and water quality. These sensors may be installed in any structure or public area. A reliable communication infrastructure is needed to carry information from sensors and other devices to data processing hubs. This category includes cellular networks, fixed-wireless networks, and specialised networks like LoRaWAN, which allow for very low-latency communications. A high-performance computer infrastructure is required to analyse the massive volumes of data produced by smart city technologies and execute a variety of applications. This includes infrastructures, data centres, edge devices, and cloud computing platforms. Smart meters, intelligent lighting systems, and automated garbage collection systems are examples of the Internet of Things (IoT) devices used to track and manage city services. Optimal functionality is achieved via the interconnectedness of these devices and centralised data processing systems. Citizens may access the many services and apps in a smart city via their mobile devices, such as smartphones and tablets. Apps for buses, parking garages, and rubbish collection fall under this category. Large-scale data storage systems are necessary due to the copious volumes of data produced by smart city technology. This encompasses both off-site and on-premises options for storing data. Smart cities have complicated hardware needs, requiring substantial expenditures on various components and infrastructure. City infrastructure, services, and sustainability may benefit from implementing these features, which in turn can improve residents' quality of life. 6.1. Arduino Uno The Arduino [40], [41] is an excellent pick if this is the first Arduino. The microprocessor on this Arduino board is an ATmega328P. Similar to the Atmega-type board, it has a user interface that is quite intuitive. In-Circuit Serial Programming (ICSP) header, USB port, a power jack, reset button, and 14 digital I/O pins, six of which may be utilised as PWM (pulse width modulation) outputs. Supporting the microcontroller is as easy as connecting it to a computer through USB and providing power via an AC- to-DC converter or battery [42]. 6.2. Arduino Mega Powered by an ARM Cortex-M3 CPU, this is the first board in the Arduino microcontroller family. There are 14 digital input /output I/O pins, including 12 PWM o/p pins; 12 analogue pins; a USB OTG; a CLK at 84 MHz; a power connection; a TWI header; an SPI header; a reset switch; and an erase switch. Due to the potential for damage, the most excellent voltage that may be supplied to any I/O pin on this board is 3.3V, so the board operates at this level. If somebody cannot access a computer with a USB port, they may use an AC-to-DC converter to power this board. Specialists can use any 3.3V Arduino shield with this Arduino Due board. 2002 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate 6.3. Generation of Energy (12 V) A power source is any electrical component that transfers electrical energy from its source to the load. A power supply is a device that provides electricity to a load by regulating the input voltage, current, and frequency. The term "electric power converter" describes power supply in this context. Depending on the appliance being powered, the power supply may be an external component or an integral part of the device [43]. This category includes the power supply used in personal computers and consumer gadgets. In addition to ensuring that the load's current consumption stays within safe parameters and cutting power in the event of an overload or other electrical fault, power supplies can also perform functions such as power conditioning to filter out electronic noise and voltage spikes at the input, power-factor correction, and energy storage to keep the load running during a brief outage at the power plant [44]. For this reason, and since the demand for the external energy source became too great while linking Arduino to the same power, we put in an external power source for the exterior lights alone [45]. The 204 LCD contains 20 columns and four rows, thus the name. Many permutations are available, such as 81, 82, 102, 162, etc. Nevertheless, as the 204 LCD is the most common size, we will refer to that one. It is up to decide since all of the LCDs mentioned above displays will have 16 Pins, and the programming method will be the same. The pinout and Pin Description for the 20x4 LCD Module are provided below. 6.4. An Ultrasonic Detector Just like bats use SONAR to measure the distance to an object, the HC-SR04 ultrasonic sensor operates on a similar principle. This sensor can provide precise and non-contact range detection from 2 to 400 centimetres (approximately 1 inch to 13 feet) in a compact, easy-to-use design. It remains unaffected by sunlight or dark objects, ensuring reliable performance. However, identifying fabric using sound poses some challenges. The package includes the ultrasonic radio module and transmitter, making it a comprehensive solution [46]. Technical Specifications: • Power Supply − +5V DC • Quiescent Current − <2mA • Working Current − 15mA • Effectual Angle − <15° • Ranging distance − 2cm – 400 cm/1″ – 13ft • Resolution − 0.3 cm • Measuring Angle − 30 degree 1) The detector of infrared light: Infrared sensors are electrical devices that emit radiation to gather information about their immediate environment. An infrared (IR) sensor can monitor both motion and temperature. Passive infrared (IR) sensors detect and measure IR rather than produce or release IR. If infrared sensors exist, can they detect people? The PIR sensor can identify people using their body heat [47]. The infrared light given out by the human body is what the Grid-EYE sensor uses to locate people. Every human being emits a unique spectrum of infrared light. When matter absorbs incoming radiation, its temperature changes. Cameras with infrared detection? With a supply voltage of 4.5 to 5.5 VDC, the output voltage ranges from 2.8V at 15cm to 0.4V at 150cm. 2) Light-Emitting Diode (LED): semiconductors transform electrical energy into visible light. LEDs are becoming more common for light sources since they are more energy-efficient, endure longer, and are less environmentally harmful than conventional halogen and fluorescent lights. LEDs are constructed from semiconductor materials doped with impurities to form a p -n junction, allowing current to flow in just one direction. Electrons and holes recombine when a forward voltage is given to the p-n junction, producing energy as photons. The materials used to build the p-n junction and 2003 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate the amount of current flowing through it control the hue of the light generated by an LED [Park, 2018 #27], [Moghe, 2012 #28], [50]. LED lighting has many benefits over older lighting systems. They use up to 80% less energy than incandescent bulbs and up to 50% less energy than fluorescent lights. They also have a longer lifetime, generally up to 25,000 hours or more, compared to 1,000 hours or fewer in incandescent bulbs. LEDs are also less detrimental to the environment since they do not contain dangerous chemicals like mercury, which is contained in fluorescent lamps. Moreover, since LEDs produce light in a specified direction, they utilise light more efficiently, avoiding the need for reflectors and diffusers that may absorb or scatter light. LEDs may be found in several settings, including homes, companies, and cars. They are also extensively used in electronic devices for backlighting, including TVs, computer displays, and cell phones. LEDs are a fast-expanding technology, with constant research to increase efficiency, brightness, and colour quality [Hashim, 2020 #1737], [Lee, 2016 #30], [53]. Figure 6. Connect the traffic light circuit. Figure 7. Connect the intelligent parking. 2004 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate Figure 8. Connect the bright lighting. We have constructed certain portions of the smart city based on modern technology. Everything functions without human interaction, making it extremely simple for the consumer to use or do anything. Moreover, given that the world has shifted to artificial intelligence, rapid technical growth, and the commercial and electronics revolution, we must keep up with developed nations, even if it is in a little way. The Internet of Things (IoT) allows for the integration of a wide variety of apps, user interactions, and communication networks to provide citizens with interconnected solutions (IoT [54]). Most importantly, there is the IoT. The IoT refers to a network of devices that may communicate and exchange information with one another. Many instances exist, including automobiles, home appliances, and street sensors. Information gathered by such gadgets is stored in the cloud or on server’s businesses, and governments become efficient in enriching people's lives financially and otherwise. Numerous Internet of Things (IoT) devices utilise edge computing to ensure that essential and crucial data is transmitted securely through the communication network [55]. Additionally, a safety system is put in place for added protection. We have built sections of the future city in which having to cut technology is employed in every element, and no human participation is necessary for individuals to get entry to or accomplish any work. Moreover, we must keep up with developed countries, even if it is just on a fundamental level since the world has changed to artificial intelligence, considerable technological advancement, and the manufacturing and electronic revolution. The Internet of Things (IoT) and other innovations are paired with various applications, interfaces, and communication networks [56]to build "smart cities" that provide inhabitants with real-time, interactive solutions. The most important is the Internet of Things, a network of linked electrical 2005 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate gadgets that may exchange data. This category might include everything from vehicles and freezers to thermostats and traffic lights. The cloud or servers store the data collected by these devices to boost both private and public sector efficiency, resulting in better economic results and a higher quality of life for citizens. Many IoT devices use edge computing to sort out less essential data before sending it through the network. A robust security system is put in place to protect, monitor, and regulate data flow from the smart city network, ensuring the city's data platform is protected from unauthorised access. This security architecture is intended to safeguard, monitor, and control data flow inside the smart city network, avoiding unauthorised access to IoT devices linked to the city's database platform. Figure 9. Final project. In our project, we implemented some parts of the smart city because the intelligent city is integrated and very large with advanced devices and technology. The project consists of three parts of the smart city. 7. Results 7.1. The First Phase: Smart Traffic Lights The system will manage each signal individually if there is traffic at all signals. If a signal has no traffic, the algorithm will skip it and move on to the next one. For instance, if no vehicle is at signals 2 and 3, the system will allow cars at signal 1 to pass and then move on to signal four without stopping at 2 and 3. If none of the signals have traffic, the system will stop at the current signal and only move to the next signal when traffic is detected at any other signal. The project aims to develop an Arduino-based traffic light controller that adjusts lights based on traffic density. The system will ignore signals without traffic and proceed to the next one. The distance between a car and the signal will be determined by an ultrasonic sensor HC-SR04 connected to the Arduino, and the traffic lights will be controlled accordingly. A key challenge in the project was to avoid using the delay function and constantly read from the ultrasonic sensors while regulating the signals. The Timer One library measured time frames in microseconds and triggered an interrupt function at the end of each phase. The sensors are read in this function, and the traffic lights are controlled in the loop function. 2006 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate Figure 10. System circuit. 7.2. The Second Phase of the Project: The Intelligent Parking Structure This intelligent parking device includes an infrared sensor to identify if the lot is presently vacant. We put up four cars, each with its package of 8 sensors; two sensors identify when a car arrives or exits, and the sensors allow the servo-powered crossbar to open to a 90-degree angle. According to the image, if no vehicle is parked at a given stop, the word "Empty" appears on the screen, but the phrase "Full" shows that a special parking place has been reserved. If all available parking spots are used, the display will show "the parking is filled," The electrical beam will stay blocked until a place becomes available. 2007 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate Figure 11. Smart parking. 1) The third phase of the project is bright lighting. We have created a portion of the smart city in which cutting-edge technology is relied upon in every aspect and where the user may accomplish their goals with little effort and no need for human assistance. As a result of the widespread use of AI, significant technical advancements, and the ongoing commercial and electronic revolution, developing nations need to catch up to the developed world, even in the most basic ways. 2) Code for Car Parking System and Smart Traffic Light Controller using Ultrasonic Sensors and Arduino: The following code consists of two separate programs (Appendix 1). The first program controls a car parking system using an ultrasonic sensor and a servo motor to adjust parking slots. The program starts by initialising all the necessary pins and setting up the LCD screen. It then reads the ultrasonic sensor values and displays the number of available slots on the LCD screen. The corresponding slot is marked as "Fill" on the screen if any of the sensors detect a car. The program also detects IR signals from the remote control to open and close the parking gate. The second program is for an intelligent traffic light controller that uses ultrasonic sensors to detect the presence of vehicles at different traffic signals. The program initialises all the necessary pins and sets up the ultrasonic sensors. It then enters a loop where it checks the distance measured by each sensor. If the distance is less than a particular threshold value, it triggers the corresponding traffic light signal. The program also includes a timer function that controls the duration of the red and yellow signals. The program prints debugging messages to the serial monitor for each sensor reading and signal change. 8. Discussion More than half of the world's population now lives in urban regions. This degree of urbanisation is unprecedented. The rapid urban transformation presents a wide range of benefits and problems. In response to the aforementioned urban issues and pursuit of enhanced efficiency, sustainability, and livability within urban areas, the notion of "Smart Cities" has developed as a paradigm-shifting phenomenon in urban development [3]. Smart cities are the tangible outcome of integrating technology, data analytics, and urban design. The use of advanced digital infrastructure, data-driven analysis, and the capabilities of the Internet of 2008 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate Things (IoT) are employed to enhance several aspects of urban life, such as sustainability, operational efficiency, and the general well-being of urban residents. This article uses information from many sources to explore the fundamental characteristics, challenges, and potential associated with Smart Cities [3], [57]. The concept of Smart Cities encompasses several dimensions, although its fundamental essence is in using advanced technology to augment the quality of urban life. According to Albino, Berardi, and Dangelico, smart cities may be defined as urban settings that effectively use digital technology, data, and creative approaches to enhance performance and well-being and optimise costs and resource utilisation. These urban areas contain many elements, including government, infrastructure, environment, economics, and quality of life. The primary objective of Smart Cities is the improvement of the overall well-being and living standards of its residents. The research conducted by Deloitte on the concept of "Super Smart City" highlights the aspirations of Smart Cities to enhance societal well-being and economic prosperity via advanced technologies [2]. It is accomplished via the optimisation of transportation networks, healthcare, education, and public services, eventually boosting the overall well-being of the populace [3]. The potential advantages of Smart Cities are substantial, yet they also raise crucial ethical and privacy concerns. Conley places significant emphasis on the need to exercise cautious and judicious decision-making processes and safeguard civil rights throughout the evolution and establishment of Smart Cities. The collection and exploitation of extensive quantities of data might present potential threats to personal privacy and civil liberties, hence requiring the establishment of solid safeguards for data security and adopting ethical principles [3]. According to a previous study [11]. Smart buildings are of great significance in the development of smart cities. Apanaviciene, Vanagas, and Fokaides propose the notion of "Smart Building Integration into a Smart City (SBISC)" [15] and present the creation of a novel assessment methodology. This approach acknowledges the significance of incorporating discrete components, such as intelligent buildings, to enhance the overall efficacy of the urban environment. Smart Buildings use advanced technologies such as cloud computing and data centres, facilitating essential data acquisition for effective urban administration [58]. Bibri's study places significant emphasis on the data-driven characteristics of Smart Cities, with particular attention on instrumentation, datafication, and computerisation [16]. Smart cities can gather and analyse data from many sources, facilitating the process of making well-informed decisions and optimising the use of resources. Talebkhah et al. further investigate the potential uses of the Internet of Things (IoT) and big data within the context of Smart Cities [5]. The improvements highlight the significance of safely and ethically managing data, according to a previous study [11]. Smart cities aim to link their projects with the Sustainable Development Goals (SDGs) set out by the United Nations. In their study, Kutty et al. provide a system thinking method to align Smart and sustainable city activities with the Sustainable Development Goals (SDGs) [14]. This approach emphasises the significance of achieving a harmonious equilibrium between technological progress and broader societal and ecological goals. Smart cities should prioritise attaining the Sustainable Development Goals (SDGs) to guarantee enduring sustainability. Joss et al. provide a comprehensive analysis of Smart Cities worldwide, highlighting the wide range of methods and the dynamic nature of the idea [9]. The presence of diverse characteristics across cities highlights the need to develop individualised methods specifically designed to address the distinct setting of each city. For example, Helsinki, Singapore, and London have used distinct participatory approaches to advance Smart City development [7]. In summary, Smart Cities embody an innovative trajectory in urban development, propelled by the convergence of technology, data, and active participation of citizens. These urban areas endeavour to improve the well-being of their inhabitants, maximise the exploitation of resources, and align with sustainable development objectives. Nevertheless, stakeholders need to acknowledge and tackle ethical and privacy considerations, use smart building technologies, and tailor tactics to specific local 2009 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate circumstances. Integrating Smart Cities will be crucial in developing intelligent, inclusive, and environmentally sustainable urban landscapes as cities transform. 9. Conclusions The article on smart cities is an interdisciplinary effort that goes beyond academic and corporate sectors to tackle urban development challenges in the context of developing technology. Identifying the target audience and developing tactics for sharing our results as we approach the finish is essential. The intended audience for this work comprises academic theorists, technology developers, legislators, and urban planners. Furthermore, stakeholders from other fields, such as public infrastructure, environmental management, and community development, are interested in this research. Our article aims to distribute our discoveries via academic journals, conferences, and seminars relevant to sustainable development, urban planning, and smart technology. Furthermore, we can guarantee that our research impacts practical choices by actively engaging in urban development forums and distributing policy papers. This allows us to interact with policymakers actively. To expedite the implementation of innovative city programmes, we will actively seek partnerships with IT companies and local government officials. The practical application of our study's conclusions requires a well-crafted methodology. We suggest local authorities and IT companies join to launch pilot initiatives. These pilot efforts will primarily emphasise intelligent utilities, environmentally friendly urban infrastructure, and integrating the Internet of Things (IoT) into public services. Our main objective is to create models that can easily be adjusted and duplicated in various urban settings. We will enhance our models and tactics based on the input acquired from these experimental projects. While our research is thorough, it does have several significant limitations, particularly in terms of its extent and the extent to which it integrates other disciplines. Further investigation into integrating finance and nanotechnology into smart city information and communication technology (ICT) settings has the potential to provide favourable results. To improve understanding and implementation of innovative city models, it is beneficial to include case studies that cover a wide range of geographical and socioeconomic situations. This study adds to the expanding knowledge base on smart cities by providing a unique multidisciplinary viewpoint. This framework provides a comprehensive analytical basis for evaluating smart cities in eight specific use scenarios. It considers essential topics such as big data, smart infrastructure, and the Internet of Things (IoT). In the future, our main objective will be to distribute the results of our research to essential individuals and use them in real-world situations. By adopting this approach, we can validate our theoretical framework and contribute to developing more intelligent and ecologically sustainable cities. Copyright: © 2024 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). References [1] V. Albino, U. Berardi, and R. M. Dangelico: ‘'Smart Cities: Definitions, Dimensions, Performance, and Initiatives’', Journal of Urban Technology, 22, (1), 2015, pp. 3-21 [2] R. Baldwin, & di Mauro, B. W. (Eds.). (2020). . . : ‘'Economics in the Time of COVID-19’', American Journal of Industrial and Business Management, 12, (7), 2022 [3] D. Guarnizo-Peralta1: ‘'Disability rights in the Inter-American System of Human Rights’', Netherlands Quarterly of Human Rights, 36, 2018, pp. 43 - 63 [4] C. Conley: ‘'Making smart decisions about smart cities’', Amer. Civil Liberties Union Calif., 2017 [5] M. Talebkhah, A. Sali, M. Marjani, M. Gordan, S. J. Hashim, and F. Z. Rokhani: ‘'IoT and Big Data Applications in Smart Cities: Recent Advances, Challenges, and Critical Issues’', IEEE Access, 9, 2021, pp. 55465-84 https://creativecommons.org/licenses/by/4.0/ 2010 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate [6] N. Hughes: ‘'‘Tourists go home’: anti-tourism industry protest in Barcelona’', Social Movement Studies, 17, (4), 2018, pp. 471-77 [7] A. Shamsuzzoha, J. Nieminen, S. Piya, and K. Rutledge: ‘'Smart city for sustainable environment: A comparison of participatory strategies from Helsinki, Singapore and London’', Cities, 114, 2021, pp. 103194 [8] M. Compte-Pujol, J. Vela, and J. Frigola: ‘'Key elements in defining Barcelona’s place values: the contribution of residents’ perceptions from an internal place branding perspective’', Place Branding and Public Diplomacy , 14, 2018, pp. 245-59 [9] S. Joss, F. Sengers, D. Schraven, F. Caprotti, and Y. Dayot: ‘'The Smart City as Global Discourse: Storylines and Critical Junctures across 27 Cities’', Journal of Urban Technology , 26, (1), 2019, pp. 3-34 [10] A. Vanolo: ‘'Is there anybody out there? The place and role of citizens in tomorrow’s smart cities’', Futures, 82, 2016, pp. 26-36 [11] M. Ziosi, B. Hewitt, P. Juneja, M. Taddeo, and L. Floridi: ‘'Smart cities: reviewing the debate about their ethical implications’', AI & SOCIETY, 2022 [12] A. Karabetian, A. Kiourtis, K. Voulgaris, P. Karamolegkos, Y. Poulakis, A. Mavrogiorgou, and D. Kyriazis: ‘An Environmentally-sustainable Dimensioning Workbench towards Dynamic Resource Allocation in Cloud-computing Environments’, in Editor (Ed.)^(Eds.): ‘Book An Environmentally-sustainable Dimensioning Workbench towards Dynamic Resource Allocation in Cloud-computing Environments’ (2022, edn.), pp. 1-4 [13] S. B. Othman, F. A. Almalki, C. Chakraborty, and H. Sakli: ‘'Privacy-preserving aware data aggregation for IoT-based healthcare with green computing technologies’', Computers and Electrical Engineering, 101, 2022, pp. 108025 [14] A. A.Kutty, G. Abdella, M. Kucukvar, N. Onat, and M. Bulu: ‘'A system thinking approach for harmonizing smart and sustainable city initiatives with United Nations sustainable development goals’', Sustainable Development, 28, 2020 [15] R. Apanaviciene, A. Vanagas, and P. Fokaides: ‘'Smart Building Integration into a Smart City (SBISC): Development of a New Evaluation Framework’', Energies, 13, 2020, pp. 2190 [16] S. E. Bibri: ‘'The anatomy of the data-driven smart sustainable city: instrumentation, datafication, computerization and related applications’', Journal of Big Data, 6, (1), 2019, pp. 59 [17] K. H. Law, and J. P. Lynch: ‘'Smart City: Technologies and Challenges’', IT Professional, 21, (6), 2019, pp. 46-51 [18] S. Y. Tan, and A. Taeihagh: ‘Smart City Governance in Developing Countries: A Systematic Literature Review’, in Editor (Ed.)^(Eds.): ‘Book Smart City Governance in Developing Countries: A Systematic Literature Review’ (2020, edn.), pp. [19] S. Secinaro, V. Brescia, D. Calandra, and P. Biancone: ‘'Towards a hybrid model for the management of smart city initiatives’', Cities, 116, 2021, pp. 103278 [20] T. Yigitcanlar, M. Kamruzzaman, L. Buys, G. Ioppolo, J. Sabatini-Marques, E. M. da Costa, and J. J. Yun: ‘'Understanding ‘smart cities’: Intertwining development drivers with desired outcomes in a multidimensional framework’', Cities, 81, 2018, pp. 145-60 [21] P. He, N. Almasifar, A. Mehbodniya, D. Javaheri, and J. L. Webber: ‘'Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review’', Sustainable Computing: Informatics and Systems, 36, 2022, pp. 100822 [22] F. Mosannenzadeh, and D. Vettorato: ‘'Defining Smart City. A Conceptual Framework Based on Keyword Analysis’', TeMA - Journal of Land Use, Mobility and Environment, 2014, pp. 683-94 [23] Q. N. Hashim, A.-A. A. M. Jawad, and K. Yu: ‘'Analysis of the state and prospects of LTE technology in the introduction of the Internet of Things’', Norwegian Journal of Development of the International Science, (84), 2022, pp. 47-51 [24] N. Hashim, A. Mohsim, R. Rafeeq, and V. Pyliavskyi: ‘'New approach to the construction of multimedia test signals’', International Journal of Advanced Trends in Computer Science and Engineering , 8, (6), 2019, pp. 3423-29 [25] R. K. R. Kummitha, and N. Crutzen: ‘'How do we understand smart cities? An evolutionary perspective’', Cities, 67, 2017, pp. 43-52 [26] Y. Kaluarachchi: ‘'Implementing Data-Driven Smart City Applications for Future Cities’', Smart Cities, 5, (2), 2022, pp. 455-74 [27] Y. Alshboul, A. A. R. Bsoul, M. Al Zamil, and S. Samarah: ‘'Cybersecurity of Smart Home Systems: Sensor Identity Protection’', Journal of Network and Systems Management, 29, (3), 2021, pp. 22 [28] N. Dickey, D. Banks, and S. Sukittanon: ‘Home automation using Cloud Network and mobile devices’, in Editor (Ed.)^(Eds.): ‘Book Home automation using Cloud Network and mobile devices’ (2012, edn.), pp. 1-4 [29] S. Ganapati, and C. F. Schoepp: ‘'The Wireless City’', International Journal of Electronic Government Research (IJEGR) , 4, (4), 2008, pp. 54-68 [30] L. V. Audenhove, P. Ballon, M. Poel, and T. Staelens: ‘'Government policy and wireless city networks : a comparative analysis of motivations, goals, services and their relation to network structure’', The Southern African Journal of Information and Communication, 2007, (8), 2007, pp. 108-35 [31] D. Sunehra, and M. Veena: ‘Implementation of interactive home automation systems based on email and Bluetooth technologies’, in Editor (Ed.)^(Eds.): ‘Book Implementation of interactive home automation systems based on email and Bluetooth technologies’ (2015, edn.), pp. 458-63 [32] X. Lu, and X. Cheng: ‘'A Secure and Lightweight Data Sharing Scheme for Internet of Medical Things’', IEEE Access, 8, 2020, pp. 5022-30 2011 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 4: 1992-2011, 2024 DOI: 10.55214/25768484.v8i4.1577 © 2024 by the author; licensee Learning Gate [33] I. H. Khan, and M. Javaid: ‘'Role of Internet of Things (IoT) in Adoption of Industry 4.0’', Journal of Industrial Integration and Management, 07, (04), 2021, pp. 515-33 [34] J. Bush: ‘'The role of local government greening policies in the transition towards nature-based cities’', Environmental Innovation and Societal Transitions, 35, 2020, pp. 35-44 [35] C. Adjei Mensah: ‘'Destruction of Urban Green Spaces: A Problem Beyond Urbanization in Kumasi City (Ghana)’', American Journal of Environmental Protection, 3, 2014 [36] R. Habeeb: ‘Analysis of Major Parameters of Smart Cities and Their Suitability in Indian Context’, in Editor (Ed.)^(Eds.): ‘Book Analysis of Major Parameters of Smart Cities and Their Suitability in Indian Context’ (Springer Singapore, 2017, edn.), pp. 83-92 [37] T. Miroshnikova, and N. Taskaeva: ‘'Approaches to the assessment the innovation-and-investment projects within the system of “Smart City” criteria’', E3S Web of Conferences, 97, 2019, pp. 01022 [38] U. Khalil, A. Nasir, S. M. Khan, T. Javid, S. A. Raza, and A. Siddiqui: ‘Automatic Road Accident Detection Using Ultrasonic Sensor’, in Editor (Ed.)^(Eds.): ‘Book Automatic Road Accident Detection Using Ultrasonic Sensor’ (2018, edn.), pp. 206-12 [39] C. Li, X. Liu, Z. Dai, and Z. Zhao: ‘'Smart City: A Shareable Framework and Its Applications in China’', Sustainability, 11, (16), 2019, pp. 4346 [40] S. Das, S. Patro, R. Das, and A. Mishra: ‘Arduino based Safety Device for the Visually Challenged’, in Editor (Ed.)^(Eds.): ‘Book Arduino based Safety Device for the Visually Challenged’ (2019, edn.), pp. 0601-05 [41] M. Naing, and N. San: ‘'Arduino Based Smart Home Automation System’', International Journal of Trend in Scientific Research and Development, Volume-3, 2019, pp. 276-80 [42] M. Pauzan, and I. Yanti: ‘'UTILIZATION OF ADC PIN ON ARDUINO NANO TO MEASURE VOLTAGE OF A BATTERY’', TEKNOKOM, 2021 [43] A. M. Jawad, N. H. Qasim, H. M. Jawad, M. J. Abu-Alshaeer, R. Nordin, and S. K. Gharghan: ‘'Near field wpt charging a smart device based on iot applications’', TTSIIT, 2022, pp. 12 [44] H. B. Rijal, K. Yoshida, M. A. Humphreys, and J. F. Nicol: ‘'Development of an adaptive thermal comfort model for energy-saving building design in Japan’', Architectural Science Review, 64, (1-2), 2021, pp. 109-22 [45] A. Rentizelas, and D. Georgakellos: ‘'Incorporating life cycle external cost in optimization of the electricity generation mix’', Energy Policy, 65, 2014, pp. 134-49 [46] A. K. Sahoo, and S. K. Udgata: ‘'A Novel ANN-Based Adaptive Ultrasonic Measurement System for Accurate Water Level Monitoring’', IEEE Transactions on Instrumentation and Measurement, 69, (6), 2020, pp. 3359-69 [47] M. Verma, R. S. Kaler, and M. Singh: ‘'Sensitivity enhancement of Passive Infrared (PIR) sensor for motion detection’' , Optik, 244, 2021, pp. 167503 [48] S. Park, B. Kang, M.-i. Choi, S. Jeon, and S. Park: ‘'A micro-distributed ESS-based smart LED streetlight system for intelligent demand management of the micro grid’', Sustainable Cities and Society , 39, 2018, pp. 801-13 [49] R. Moghe, F. C. Lambert, and D. Divan: ‘'Smart “Stick-on” Sensors for the Smart Grid’', IEEE Transactions on Smart Grid, 3, (1), 2012, pp. 241-52 [50] N. Qasim, and V. Pyliavskyi: ‘'Color temperature line: forward and inverse transformation’', Semiconductor physics, quantum electronics and optoelectronics, 23, 2020, pp. 75-80 [51] N. Hashim, A. H. Mohsim, R. M. Rafeeq, and V. Pyliavskyi: ‘'Color correction in image transmission with multimedia path’', 2006 [52] V. W. Lee, N. Twu, and I. Kymissis: ‘'Micro-LED Technologies and Applications’', Information Display, 32, (6), 2016, pp. 16-23 [53] I. Moreno: ‘'Image-like illumination with LED arrays: design’', Optics Letters, 37, (5), 2012, pp. 839-41 [54] U. Singh and A. Sharma: ‘'Cloud computing security framework based on shared responsibility models’', Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0, , 2021, pp. 39-55 [55] R. Dastres, and M. Soori: ‘'Artificial Neural Network Systems’', International Journal of Imaging and Robotics, 21, 2021, pp. 13-25 [56] S. Gunputh, A. P. Murdan, and V. Oree: ‘Design and implementation of a low -cost Arduino-based smart home system’, in Editor (Ed.)^(Eds.): ‘Book Design and implementation of a low-cost Arduino-based smart home system’ (2017, edn.), pp. 1491-95 [57] Deloitte.: ‘Super Smart City: Happier Society with Higher Quality ’ (2018. 2018) [58] L. Cai, C. Xing, and Y. Deng: ‘'Research on digital urban architecture design based on cloud computing data center’', Environmental Technology & Innovation, 22, 2021, pp. 101543