In real traffic environment, a single control mode of traditional autonomous vehicles cannot
meet various driving requirements for different drivers, which will decrease the acceptance …

An algorithm of cooperative driving based on model predictive control (MPC) for connected
and automated vehicles (CAVs) at non-signalized intersection is proposed in this paper. The …

To address the safety and efficient driving issues of human–machine shared control vehicles
(HSCVs) in future complex traffic environments, this paper proposes a game theory-based …

In this paper, we proposed a decentralized cooperative lane-changing decision-making
framework for connected autonomous vehicles, which is composed of three modules, ie …

This paper proposes a novel driver-automation shared control based on a potential-field-
driven model predictive controller (PF-MPC) and a two-layer fuzzy strategy (TLFS) to …

Integrating large models (LMs) into future vehicles and transportation systems marks a
significant advancement in mobility and transportation technology. Incorporating artificial …

In order to study the group cooperative control method of multiple intelligent networked
vehicles, the multiple intelligent networked vehicles can move in the form of a fleet. Based …

With the increasing number of cars, road traffic accidents have caused a lot of losses every
year and human factors play an important role in many cases. Applying active safety …

Collaborative driving is a growing domain of Intelligent Transportation Systems (ITS) which
aim to navigate traffic both efficiently and safely. Cooperation between vehicles heavily rely …

The cooperation between an autonomous vehicle and a nearby vehicle is critical to ensure
driving safety in the lane-exchanging scenario. The nearby vehicle trajectory needs to be …