Research on Urban Traffic Congestion Optimisation Strategies Based on V2X Technology

This study investigates urban traffic congestion optimisation strategies based on V2X technology. V2X technology (Vehicles and Internet of Everything) aims to alleviate urban traffic congestion, improve access efficiency, and reduce tailpipe emissions through real-time collection and fusion of traffic data to optimise traffic signal control and path planning. The efficacy of the optimisation strategies under different V2X penetration rates is evaluated by conducting multi-factor orthogonal experiments in different typical congestion scenarios. The experimental results show that the V2X-based signal optimisation, path induction, and event response combination strategies exhibit significant optimisation effects in all three scenarios: node bottleneck, corridor congestion, and event induction. Under the condition of 100% penetration, the combined strategy reduces delay by 41.9% in the node bottleneck scenario, improves accessibility by 28.1% in the corridor congestion scenario, and improves accessibility by 52.0% in the event-induced scenario. In addition, the experiments analysed the correlation between response rate and delay and showed that for every 10% increase in response rate, delay could be reduced by approximately 8.4 seconds. These findings suggest that V2X technology can significantly improve the operational efficiency of urban traffic and provide new solutions for traffic management.