Accurate trajectory prediction of surrounding vehicles is important for automated vehicles. To
solve several existing problems of maneuver-based trajectory prediction, we propose four …

Abstracts Digital technology plays an important role in the construction of intelligent
transportation systems. The digitization of travel and traffic information contributes to the …

Mobile Adhoc Network (MANET) has been a core topic of research since the last decade.
Currently, this form of networking paradigm is increasingly being construed as an integral …

Precisely assessing driving threat of road segments could significantly enhance the driving
efficiency of intelligent connected vehicles (ICV) within mixed traffic scenarios. Existing …

The state-of-the-art technology in the field of vehicle automation will lead to a mixed traffic
environment in the coming years, where connected and automated vehicles have to interact …

The autonomous driving system faces challenges in selecting critical targets under dense
environments with limited computation resources. Existing rule-based methods struggle with …

Cooperative adaptive cruise control (CACC) is an important technology for improving road
utilization and energy efficiency in the automotive industry. In CACC systems, connected …

To avoid the frequent and unreasonable lane-changing behavior and enhance the driving
comfort, a comfortable and safe lane-changing strategy for intelligent vehicles is investigated …

A dynamic world has different uncertainties. These uncertainties always impact adversely
while making decisions. Existing systems sometimes fail as they are trained without …

This paper proposes a simulation model of lane-changing that considered indirect
reciprocity at intersection in Internet of Vehicles environment. The model attempts to address …