A Sharing Decision Method for HOV Lanes Based on Evolutionary Game Theory
A decision-making method of high-load lane sharing based on evolutionary game theory was proposed.By analyzing the numerical simulation results,it was found that the traffic flow characteris-tics of high-load lanes were closely related to saturation conditions,and the sharing conditions of high-load lanes under different saturation conditions were further analyzed.Aiming at the high saturation condition and aiming at the optimal group benefit,a decision-making method of high-load lane sharing was proposed by introducing evolutionary game theory.The effectiveness of the proposed shared deci-sion-making method was explored with practical cases,and its applicability under various saturation conditions was studied.The results show that this method can adapt to the complex and changeable traffic environment,and alleviate traffic congestion and improve the utilization rate of road resources on the premise of ensuring bus priority.The average delay of road vehicles decreased by 12.5％,the average delay decreased by 13.2％,the road saturation decreased by 3.8％,and the average speed in-creased by 2.9％.The higher the road saturation,the more obvious the optimization effect of this method was.
traffic engineeringurban roadshigh occupancy vehicle laneshared decision makingev-olutionary game
万方数据
维普
