This paper proposes a multi-vehicle cooperative control scheme in mitigating traffic
oscillation (MCCS-MTO) for a single-vehicle lane change (LC) scenario applied to …

This paper addresses the optimization of urban charging facilities expansion in response to
the growing charging demand and proposes a data-driven bi-level optimization framework …

The lateral control of the vehicle is significant for reducing the rollover risk of high-speed
cars and improving the stability of the following vehicle. However, the existing car-following …

Accurate short-term traffic flow prediction is a prerequisite for achieving an intelligent
transportation system to proactively alleviate traffic congestion. Considering the complex …

In this paper, a new collision avoidance switching system is proposed to address the lack of
adaptability of intelligent vehicles under different collision avoidance operating conditions …

To solve the problem of smooth switching between the car-following model and lane-
changing model, the Intelligent Driver Model (IDM) for a single lane was used to study the …

Steel automotive wheel rims are subject to wear and tear, down to the end of their service
life. Manufacturers use standard destructive tests to determine the probable lifetime of the …

To more accurately predict short-term traffic flow, this study posits a sophisticated integrated
prediction model, CNN-BiGRU-AAM, based on the additive attention mechanism of a …

Predicting the trajectories of surrounding vehicles plays an important role in the driving
safety of autonomous vehicles. It impacts the decision making, path planning, and vehicle …

To avoid the potential risk triggered by the failure of the conflict arbitration of autonomous
vehicles, a driving intention prediction method based on the Long Short-Term Memory …