Nowadays, advanced communication technologies are being utilized to develop intelligent
transportation management and driving assistance. Through the ability to exchange traffic …

Abstract Vehicle to Everything (V2X) communication capability has drawn the attention of
various government agencies, industries, and research communities to implement the …

Accurate and real-time traffic flow prediction plays a central role for efficient traffic
management. Software Defined Networking (SDN) is one of the key concerns in networking …

Solving link-based route guidance problems for large-scale networks is computationally
challenging and faces practical issues, such as spatial–temporal data coverage. Thus …

The Internet of Vehicles (IoV) has emerged as a robust solution to improve real-time road
traffic conditions, safety, and driving comfort. However, the road's dynamic environment and …

Road traffic congestion can inevitably degrade road infrastructure and decrease travel
efficiency in urban traffic networks, which can be relieved by employing appropriate …

If last decade viewed computational services as a utilitythen surely this decade has
transformed computation into a commodity. Computation is now progressively integrated …

This paper proposes to learn Multi-task, Multi-modal Direct Acyclic Graphs (MM-DAGs),
which are commonly observed in complex systems, eg, traffic, manufacturing, and weather …

The classification of the urban traffic state and its application is an important part of
intelligent transportation systems (ITS), which can not only help traffic managers grasp the …

The city's infrastructure is considered the backbone of any country's development process
and there are numerous factors that contribute to its growth. Among these factors, proper …