These days, the development of smart cities, specifically in location-aware, latency-sensitive,
and security-crucial applications (such as emergency fire events, patient health monitoring …

To standardize definitions and guide the design, regulation, and policy related to automated
transportation, the Society of Automotive Engineers (SAE) has established a taxonomy …

User trust has been identified as a critical issue that is pivotal to the success of autonomous
vehicle (AV) operations where artificial intelligence (AI) is widely adopted. For such …

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 …

Purpose-Perception has been identified as the main cause underlying most autonomous
vehicle related accidents. As the key technology in perception, deep learning (DL) based …

Automation and connectivity based platforms have great potential for managing highway
traffic congestion including bottlenecks. Speed harmonisation (SH), one of such platforms, is …

This paper proposes a possible methodology for detecting and mitigating traffic congestion.
This method is carried out using a custom-designed traffic scenario model. The model is fully …

In the transition era towards connected autonomous vehicles (CAVs), the sharing of the
roadway by CAVs and human-driven vehicles (HDVs) in a mixed-traffic stream is expected …

Optimizing traffic signal control (TSC) at intersections continues to pose a challenging
problem, particularly for large-scale traffic networks. It has been shown in past research that …

Traffic flow management is crucial for intelligent transportation systems, as congestion in
arterial areas, highways, during bad weather, and rush hours is increasingly prevalent …