Unmanned aerial vehicles (UAVs) are gaining considerable interest in transportation
engineering in order to monitor and analyze traffic. This systematic review surveys the …

The new era of sharing information and “big data” has raised our expectations to make
mobility more predictable and controllable through a better utilization of data and existing …

Intelligent vehicles need high bandwidth wireless communication links for safety and
commercial communication. However, the new generations of wireless communication …

Multi-modal interactions at the network-level remain unexplored due to the lack of high-
resolution data for all transportation modes involved. The current work investigates the effect …

Recently, there were much interest in technology which has emerged greatly to the
development of smart unmanned systems. Internet of UAV (IoUAV) enables an unmanned …

Lane change and crash risk prediction are critical technologies for autonomous driving. An
attention-based LSTM model is proposed in this paper for lane change behavior prediction …

As a promising edge computing paradigm, task offloading involves transferring data from
resource-limited devices to high-performance servers to expedite processing. However …

The combination of multimodal interactions, dynamic congestion and lane changing
phenomena in an urban environment can have a strong impact on traffic flow dynamics …

The cut-ins (one kind of lane-changing behaviors) have result in severe safety issues,
especially at the entrances and exits of urban expressways. Risk prediction and …

Complex maneuvering patterns are typical of motorized two-wheelers (MTWs), and their
widespread adoption in many countries has spurred a growing response from transport …