Dynamic rerouting has been touted as a solution for urban traffic congestion. However, its
implementation is stymied by the complexity of urban traffic. To address this, recent studies …

Due to random nature of traffic and unpredictability of human behaviors, one of challenging
problems in transportation engineering is traffic congestion which has a direct impact on the …

Dynamic rerouting framework can improve urban traffic management by mitigating urban
traffic congestion. Emerging technologies such as fog-computing offers low-latency …

Urban traffic routing has to deal with individual mobility and collective wellness considering
citizens, multi-modal transport, and fleet traffic with conflicting interests such as electric …

Traffic congestion is becoming one of the severe problems around the globe. The rate at
which vehicles are increasing is exponentially proportional to more complex issues …

The growing number of vehicles necessitates the implementation of effective vehicle
rerouting systems. Designing an effective vehicle rerouting system is challenging due to the …

Increased number of the vehicles on the streets around the world has led to several
problems including traffic congestion, emissions, and huge fuel consumption in many …

As more intelligent vehicles will ply the roads in the near future, a rapid increase of sensed
environment data is anticipated. Information based on these acquired data needs to be …

Autonomous ground/aerial vehicles (UGVs/UAVs) boost many potential applications over
past few years, but it usually takes a long time or a large price to fully recharge or refuel a …

The delay in the transmission of data to the cloud and their return impacts on applications
performance. Hence, Fog computing with transferring the cloud services to the edge of the …