To address the driving conflicts of connected automated vehicles (CAVs) at unsignalized
roundabouts, a cooperative decision-making framework is proposed. The personalized …

As society grows, the urbanized population proliferates, and urbanization accelerates.
Increasing traffic problems affect the normal process of the city. The urban transportation …

Motion planning and control of connected and autonomous vehicles (CAVs) for improving
traffic efficiency and safety in intersections still meets many challenges due to its dynamic …

In this paper, an improved bidirectional RRT∗ vehicle path planning method for smart
vehicle is proposed. In this method, the resultant force of the artificial potential field is used to …

Impacts of vehicle automation and connectivity have been studied widely from the
perspectives of fuel economy, ecology, and safety. Synthesis of various segments of this …

The modeling of traffic noise is more debated around intersections due to traffic flow and
road geometry complexity. The available intersection-specific traffic noise models cannot be …

Due to poor local range of the perception and object recognition mechanisms used by
autonomous vehicles, incorrect decisions can be made, which can jeopardize a fully …

Decision-making and planning are the core aspects of autonomous driving systems. These
factors are crucial for improving the safety, driving experience, and travel efficiency of …

Previous studies on Connected and Automated Vehicles (CAVs) demonstrated the potential
to coordinate the behaviors of multiple connected vehicles for traffic improvements. In this …

Urban signal intersection as the key node in the urban road network, its operational
efficiency directly affects the overall operational efficiency of the road network traffic. The …