Sustainable Traffic Management for Smart Cities Using Internet-of-Things-Oriented Intelligent Transportation Systems (ITS): Challenges and Recommendations

Abstract

The emergence of smart cities has addressed many critical challenges associated with conventional urbanization worldwide. However, sustainable traffic management in smart cities has received less attention from researchers due to its complex and heterogeneous nature, which directly affects smart cities’ transportation systems. The study aimed at addressing traffic-related issues in smart cities by focusing on establishing a sustainable framework based on the Internet of Things (IoT) and Intelligent Transportation System (ITS) applications. To sustain the management of traffic in smart cities, which is composed of a hybridized stream of human-driven vehicles (HDV) and connected automated vehicles (CAV), a dual approach was employed by considering traffic as either modeling- and analysis-based, or/and the decision-making issues of previous research works. Moreover, the two techniques utilized real-time traffic data, and collected vehicle and road users’ information using AI sensors and ITS-based devices. These data can be processed and transmitted using machine learning algorithms and cloud computing for traffic management, traffic decision-making policies, and documentation for future use. The proposed framework suggests that deploying such systems in smart cities’ transportation could play a significant role in predicting traffic outcomes, traffic forecasting, traffic decongestion, minimizing road users’ lost hours, suggesting alternative routes, and simplifying urban transportation activities for urban dwellers. Also, the proposed integrated framework adopted can address issues related to pollution in smart cities by promoting public transportation and advocating low-carbon emission zones. By implementing these solutions, smart cities can achieve sustainable traffic management and reduce their carbon footprint, making them livable and environmentally friendly.

DFA-SAT: Dynamic Feature Abstraction with Self-Attention-Based 3D Object Detection for Autonomous Driving

“…Sustainability has become a paramount concern across industries, with particular focus on the transportation sector. Numerous studies have addressed the implications of autonomous vehicles (AVs) and their potential to revolutionize urban living in smart cities [1][2][3][4][5][6][7][8][9]11]. Shi et al [2] introduced a semantic understanding framework that enhances detection accuracy and scene comprehension in smart cities.…”

“…Autonomous vehicles offer immersive user experiences, shaping future human-machine interactions in smart cities [5,6]. Mobility as a service is set to transform urban mobility in terms of sustainability [7]. Cities seek smart mobility solutions to address transport issues [8].…”

Analyzing the Impact of C-ITS Services on Driving Behavior: A Case Study of the Daejeon–Sejong C-ITS Pilot Project in South Korea

“…C-ITS has garnered significant attention in the field of smart city as a cutting-edge technology that contributes to the reduction in traffic accidents, alleviation of congestion, and achievement of carbon reduction goals [7][8][9][10]. Among regions, Europe has emerged as the front-runner in the development of C-ITS technology.…”

“…This information is communicated through interactions between the vehicle and the traffic lights, utilizing the onboard unit (OBU) in the vehicle [20]. By utilizing the GLOSA service, drivers can optimize their speed and avoid unnecessary stops at intersections, thus enhancing traffic efficiency C-ITS has garnered significant attention in the field of smart city as a cutting-edge technology that contributes to the reduction in traffic accidents, alleviation of congestion, and achievement of carbon reduction goals [7][8][9][10]. Among regions, Europe has emerged as the front-runner in the development of C-ITS technology.…”

Novel Optimized Strategy Based on Multi-Next-Hops Election to Reduce Video Transmission Delay for GPSR Protocol over VANETs

“…In a world of constant change, transport systems are key to achieving sustainable development. However, many challenges may influence this sector, such as consumption of resources, traffic accidents, traffic diversion, and barely being able to ensure an enjoyable driving experience [1,2]. Thus, the improvement of actual systems is a necessity.…”