The stop-and-go traffic pattern at urban intersections leads to excessive energy use due to
frequent vehicle braking, idling, and acceleration. This pattern, amplified by the growing use …

This smart city traffic management approach seeks to use edge-based video-stream
processing (using multicore and GPU processors) at intersections and in public vehicles …

Urbanization is imposing many challenges, and vehicular traffic management is one such
challenge. It hampers smooth traffic flow, wastes time, and threats of road safety. Moreover, it …

In the context of smart cities, ensuring road safety is crucial due to increasing urbanization
and the interconnected nature of contemporary urban environments. Leveraging innovative …

To improve the traffic flow in the interconnected intersections, the vehicles and infrastructure
such as road side units (RSUs) need to collaboratively determine vehicle scheduling while …

With the advancement of information and communication technologies (ICTs), there has
been high-scale utilization of IoT and adoption of AI in the transportation system to improve …

Edge computing in vehicles is emerging as an essential candidate for the Internet of
Vehicles (IoV) to improve traffic efficiency. The proliferation of IoV pushes the horizon of …

During the last few years, information technology and transportation industries, along with
automotive manufacturers and academia, are focusing on leveraging intelligent …

Efficient traffic management poses a significant challenge in smart cities, requiring the
integration of diverse approaches. This paper presents an artificial intelligence framework …

There have been many traffic light control systems around the globe, but the high cost of
infrastructure and maintenance hinders their wide deployment. However, speed-advisory …