Dynamic Trajectory-Based Traffic Dispersion Method for Intersection Traffic Accidents in an Intelligent and Connected Environment

Abstract

Intersection traffic accidents (ITAs) are one of the major causes of nonrecurrent congestion in urban road networks because the intersection is the bottleneck of road traffic. Although there has been a proliferation of studies that confirm connected automated vehicle (CAV) technology demonstrates the potential to improve traffic mobility and safety performance at intersections, studies that handle ITAs using CAV technology are scarce. To fill this gap, this study proposes an intersection control system to coordinate vehicle trajectories and ensure operational efficiency and safety under the condition of typical ITAs. A route allocation judgment method based on the position of obstacles is proposed to avoid the accident vehicle. A spatiotemporal grid-based trajectory coordination model is proposed by formulating the route allocation. We utilize the .NET Framework to secondarily develop a Simulation of Urban Mobility-based simulation environment that examines the proposed method. The experimental results indicate that the presented method outperforms the signal control method in terms of reducing delay per vehicle and rescue time and increasing throughput. Consequently, we concluded that the proposed method could handle ITAs under an intelligent and connected environment and improve the safety and robustness of intelligent intersections. It is reasonably believed that the technique has potential applicability in autonomous intersection management.