Enhancing Smart City Services with AI: A Field Experiment in the Context of Industry 5.0

. The practical effects of incorporating artificial intelligence (AI) into Industry 5.0 smart city services are made evident by this empirical research. The use of AI-powered smart traffic management yields a noteworthy 32.94% rise in traffic volume, signifying a noteworthy progression towards improved urban mobility. AI waste management optimization results in a 5.71% increase in collection efficiency, highlighting the importance of operational effectiveness and resource conservation. The control of energy use shows an 8.57% decrease, confirming AI's importance in sustainable energy practices. AI-enhanced public safety offers dependable event prediction, indicating safer cityscapes. These results highlight AI's revolutionary potential and establish smart cities as safe, secure, and sustainable urban environments.


Introduction
The idea of smart cities in the age of Industry 5.0 has developed into a complex combination of cutting-edge technologies that balance efficient public services, sustainable urban life, and environmental sustainability.The incorporation of Artificial Intelligence (AI) into the smart city framework is at the forefront of this trend.This empirical study is a field experiment that investigates the complex interactions between AI-driven solutions in urban environments [1]- [5].It also sets out to investigate the revolutionary potential of AI in improving smart city services.The concept of smart cities originated from the pressing need for urban settings to adjust to the increasing difficulties brought about by population expansion, resource limitations, and environmental sustainability [6]- [10].The key to this change is the methodical use of artificial intelligence (AI), a cornerstone technology that can analyze large datasets, recognize patterns, and make defensible conclusions, to enhance many aspects of urban life.The integration of artificial intelligence (AI) into smart city services has implications for several areas, including waste management, energy consumption, public safety, and traffic control [11]- [15].It comprises establishing a data-driven, dynamic urban ecosystem where AI-enabled solutions improve service delivery and, therefore, inhabitants' quality of life.
In order to support the dynamic and multifarious integration of AI in smart city services, this study proposes an empirical investigation.The study's main component is a field experiment that simulates real-world situations and gathers data on energy use, public safety issues, trash management, and smart traffic management.The information gathered from these several areas provides a comprehensive picture of the effects of adopting AI in an urban setting.The main goal of this study is to clarify how artificial intelligence changes the way that services are provided in smart cities.The fact that we now have artificial intelligence (AI) systems that can precisely manage garbage collection, forecast traffic congestion and optimize traffic flow, improve energy consumption efficiency, and even anticipate situations involving public safety is a credit to the advancement of technology.These AI-driven insights provide municipal officials the ability to manage resources wisely, make data-driven choices, and improve the quality of services provided to citizens.The emergence of Industry 5.0 highlights the need for this empirical investigation.In an era marked by fast urbanization and limited resources, smart cities play a crucial role in determining the trajectory of the future.This research's data collection and analysis will provide empirical insights into the practical usefulness of AI in smart city services, pointing the way for technologists, policymakers, and urban planners toward a future in which cities are not just intelligent but also sustainable, efficient, and compassionate [16]- [20].

Goals of the Research
This empirical investigation's main goals are to thoroughly examine the consequences of incorporating artificial intelligence (AI) into smart city services in the framework of Industry 5.0.
• Evaluating the Effect of AI on Traffic Management: The goal of this study is to determine how well AI-driven traffic management systems perform in terms of anticipating and maximizing traffic flow, easing congestion, and improving overall urban mobility.
• Examining AI-Assisted Collection Techniques and Resource Allocation: This research is to examine how AI may optimize waste management by evaluating AIassisted collection tactics and resource allocation, with an emphasis on waste minimization and operational effectiveness.
• Analyzing AI's Impact on Energy Consumption: With an emphasis on efficiency improvements, resource conservation, and sustainable energy practices, this study aims to assess how AI is transforming the management of energy consumption in smart cities.
• Examining AI-Based Public Safety Enhancement: By examining AI's predictive capacity to foresee and mitigate public safety issues, the research aims to better understand the role of AI in public safety and ultimately increase overall urban safety.
• Evaluating the actual-World Effectiveness of the Integration: The main goal is to determine how well AI integrations into smart city services work in the actual world.
The goal of the study is to provide data-driven insights into how artificial intelligence (AI) is changing resource management, urban life, and service delivery in Industry 5.0's smart cities.
Through the pursuit of these research goals, our work aims to illuminate the practical applications of AI in smart city services, offering insightful data-driven insights to technologists, politicians, and urban planners.The results are intended to serve as a roadmap for the ongoing creation of smart cities, promoting effective and sustainable urban settings within the context of Industry 5.0.

Review of Literature
A thorough examination of the main ideas and topics surrounding the incorporation of artificial intelligence (AI) into smart city services under Industry 5.0 is provided by the literature study section.

Evolution of Smart Cities:
The complex urban difficulties brought forth by population expansion, resource restrictions, and environmental sustainability have given rise to smart cities.The development of smart cities entails the use of state-of-the-art technology to improve urban living conditions, providing inhabitants with increased sustainability, efficiency, and quality of life [21]- [25].

AI in Services for Smart Cities:
Redefining the way smart city services function is largely dependent on artificial intelligence (AI).AI has the potential to revolutionize a wide range of industries, including public safety, waste management, transportation, and energy consumption.It does this via its ability to analyze data, forecast outcomes, and make decisions on its own.Artificial Intelligence (AI) has the ability to optimize resource allocation, improve service delivery, and elevate the urban experience in general [26]- [30].

Management of Traffic and Mobility:
In order to improve urban mobility, AI plays a critical role in traffic management.Real-time data is used by AI-driven traffic prediction and optimization systems to lessen traffic, enhance flow, and shorten travel times.By using these technologies, urban congestion may be prevented and metropolitan areas can be made more accessible.

Optimal Waste Management:
By minimizing trash production, streamlining collection routes and timetables, and raising the general effectiveness of garbage collection services, artificial intelligence is completely changing the waste management industry.Waste bins can now be maintained predictably thanks to machine learning algorithms, which reduces overflows and improves the cleanliness of metropolitan areas.

Energy Efficiency of Consumption:
Energy management systems powered by AI play a key role in optimizing energy use in smart cities.In order to promote sustainable urban growth, these systems use data analytics to optimize energy distribution, strengthen grid reliability, and lower total consumption [31]-

Public Safety and Forecasting Incidents:
Predictive analytics is another way that AI may improve public safety.These systems have the ability to predict public safety events, such fires and accidents, which allows for quick action and prevention.A safer urban environment is ensured by the incorporation of AI technology.
In summary, within the framework of Industry 5.0, the literature analysis offers a basis for comprehending the revolutionary potential of AI in smart city services.Although not mentioned in this part, the topics discussed here highlight how technology advancements are changing urban life and making it more sustainable, efficient, and able to adapt to the requirements of its citizens [37].The present study's approach is intended to conduct an empirical investigation of the potential consequences of incorporating Artificial Intelligence (AI) into smart city services, with a focus on Industry 5.0.It includes a methodical strategy to gathering data, analyzing it, and assessing the practicality of AI-driven solutions.
Data Collection: This category includes a wide variety of urban services, such as trash management, energy use, public safety, and traffic control.Data is gathered from a variety of sources, including public safety incident reports, energy usage statistics, waste management databases, and traffic sensors.Pre-and post-implementation situations are represented by the gathered data, enabling comparison analysis.

Experimental approach:
The study uses an experimental approach in which data is gathered both before to and after the inclusion of AI-driven solutions into smart city services.This method makes it possible to compare how AI has improved these services.For example, before to and after the implementation of AI-driven traffic prediction and optimization systems, traffic data is gathered.

Data Analysis:
A comprehensive analysis is performed on the gathered data.Regression analysis and hypothesis testing are two statistical methods used in quantitative research to assess how AI affects different urban service metrics.Content analysis of decision-making procedures and tactics impacted by AI-driven insights is a component of qualitative analysis.
Ethical Considerations: Throughout the data collecting and analysis phases, the study complies with ethical standards.When required, participants are asked for their informed permission, and sensitive data is protected by maintaining data privacy and confidentiality.
Validity and dependability: Standardized data collecting techniques, verified AI algorithms, and a methodical approach to qualitative analysis are used to improve the validity and dependability of the study.Using data from many sources to triangulate conclusions increases their credibility.The study intends to provide empirical insights into the practical efficacy of integrating AI into smart city services within Industry 5.0 by putting this extensive approach into practice.It provides a methodical investigation of the revolutionary possibilities of artificial intelligence in improving urban life, service provision, and sustainability.Urban planners, legislators, and technologists may benefit greatly from the data-driven evidence provided by this empirical method as they work to further the development of smart cities.The significant influence of AI integration on trash collection is shown by the data analysis for waste management efficiency.AI-optimized routes resulted in a 5.71% increase in collection efficiency as garbage collected went from 35 tons to 37 tons, reducing the number of waste collection stations from 20 to 18.This modification highlights how AI may help reduce resource waste and increase waste management's operational performance as shown in below Table III and Fig      In conclusion, each table's analysis and outcome highlight the concrete ways in which AI integration improves the services offered by smart cities.In the context of Industry 5.0, the incorporation of real values and percentage changes offers verifiable proof of the revolutionary potential of AI in enhancing urban services, assisting in the creation of smart cities that are safer, more sustainable, and more effective.

Conclusion
The use of Artificial Intelligence (AI) into smart city services is emerging as a revolutionary force in the dynamic Industry 5.0 environment, altering urban life and service delivery.This empirical study has produced clear proof of AI's significant influence on improving smart cities in the areas of garbage collection, energy consumption, traffic management, and public safety.The study's conclusion summarizes the main conclusions and their significant ramifications: • The Importance of AI in Traffic Management: The data clearly shows how traffic management systems powered by AI greatly increase urban mobility.The remarkable 32.94% improvement in traffic flow after adoption validates AI's ability to optimize traffic patterns and lessen congestion, which helps city people in real ways.
• Waste Management Revolution: Artificial Intelligence's ability to improve operational efficiency is shown by its incorporation in waste management.AI's capacity to reduce resource waste and simplify garbage collection services is shown by the 5.71% improvement in waste collection efficiency, which was characterized by a decrease in collection locations and an increase in waste collected.
• Energy usage Transformation: Artificial Intelligence clearly has an influence on managing energy usage.AI-managed energy distribution is able to reduce energy usage by 8.57%, which highlights its potential for sustainable urban growth and resource conservation.AI systems provide a revolutionary approach to energy optimization.
• Improving Public Safety: The near correspondence between AI-based forecasts and real-world occurrences validates the use of AI in public safety.AI systems have the potential to improve incident response and prevention, create safer urban settings, and foresee and mitigate events with dependability.All things considered, the empirical data supports AI's transformative potential in smart city services.The information shows that integrating AI is not only an idea but also a workable reality that has the potential to completely transform urban life.The study emphasizes how important it is to use AI as Industry 5.0 develops in order to maximize services, boost productivity, and protect urban people.The study results have the potential to direct the efforts of technologists, politicians, and urban planners towards the advancement of smart cities.The findings provide empirical evidence that artificial intelligence plays a crucial role in improving urban landscape safety, resource optimization, and service delivery.The empirical results presented here provide light on the revolutionary path towards more efficient, sustainable, and safe smart cities, underlining AI's important role in transforming urban life in the future.

Fig. 3 .
Fig. 3. Controlling Energy UseThe benefits of AI-driven systems are shown by the data analysis of energy consumption control.The amount of energy used under AI management decreased by 8.57%, from 140 MWh to 128 MWh.This decline shows how AI can improve energy distribution and support sustainability and resource conservation.The percentage change shows how effective artificial intelligence is in controlling energy use in smart cities as shown in below TableIV.

TABLE I .
Intelligent Traffic ControlAfter AI-driven solutions are implemented, measurable gains are shown via data analysis of smart traffic management.Significantly, there was an improvement in average traffic flow, with an increase of 32.94% from 850 cars per hour to 1130 vehicles per hour.These enhancements demonstrate how well the AI system works to optimize traffic flow, lessen congestion, and increase urban mobility.The percentage change highlights how AI may be used practically to enhance traffic control in smart cities as shown in above Table1 and Below Fig 1.

TABLE II .
Efficiency of Waste Management Efficiency of Waste ManagementAs shown in above TableII and Fig 2,

TABLE III .
Controlling Energy Use

TABLE IV .
Problems with Public Safety