Abstract Modern-day Connected and Autonomous Vehicles (CAVs) with more than 100
million code lines, running up-to a hundred Electronic Control Units (ECUs) will create and …

Traffic incident management in metropolitan areas is crucial for the recovery of road systems
from accidents as well as the mobility and safety of the community. With the continuous …

To better understand the research focus and development direction in the field of driving
behavior active intervention, thereby laying a scientific foundation for further research, we …

Abstract Recently released Autonomous Vehicle (AV) trajectory datasets can potentially
catalyze research progress on AV-oriented traffic flow analysis. This paper aims to …

Abstract Emerging Connected and Autonomous Vehicles (CAVs) technology have a
ubiquitous communication framework. It poses security challenges in the form of cyber …

Abstract The introduction of Automated Vehicles (AVs) into the transportation network is
expected to improve system performance, but the impacts of AVs in mixed traffic streams …

Lane-changing is performed either to follow the route to a planned destination (ie,
mandatory lane-changing) or to achieve better driving conditions (ie, discretionary lane …

This paper proposes a two-stage trajectory planning method for self-driving vehicles (SDVs)
in intersection scenarios with uncertain social circumstances while considering other traffic …

Examining crash risk in the highly anticipated connected environment is hindered by its
novelty and the consequent scarcity of relevant data. This study proposes an Extreme Value …

In the information area of actual traffic, the deception attack can affect the lane-changing rate
of influx during the lane-changing process on two lanes operating in a vehicle to everything …