Analyzing the impact of nearby information of vehicles on a car-following model in a V2X communication with passing

Abstract

The paper introduces a revised “Car-following model” that integrates together influence of the driver’s memory and passing under V2X (vehicle to everything) environment on the traffic flow system by utilizing the “full velocity difference model” as a basis. Stability conditions are determined via linear stability analysis. The nonlinear analysis yields the “modified Korteweg–de Vries” equation in unstable regions because this equation characterizes traffic dynamics in the proximity of critical points. Results prove that the extended model improves traffic stability. In the V2X environment, information about the group of vehicles ahead and the driver’s inseption plays a major part in real-life traffic systems. The stability is enhanced if the driver gets informed about the apt velocity of more vehicles uphead and keeps it in mind. It has been noted that when drivers pay appropriate attention to the passing behavior of vehicles with memory, the unstable region diminishes under a connected vehicular system. Furthermore, numerical results corroborate theoretical findings, demonstrating the model’s effectiveness in enhancing vehicle efficiency, alleviating congestion and enhancing road safety. Implementing the enhanced model as active safety technology could mitigate collision accidents and reduce travel time with lower energy consumption.