基于群体延误峰值控制的干线信号协调优化模型OACHSSCD

To enhance the overall travel experience of vehicles on arterial and avoid extreme differences in cumulative delays of vehicles,an arterial signal coordination optimization model that takes into account both the total delay of the vehicle group and the reasonable distribution of individual delays is proposed.Based on the survival analysis theory,the cumulative delay of individual vehicles is viewed as"survival time".The Weibull survival function is used to fit the survival statistical law of the vehicle group,achieving a quantitative description and comparison of the allocation of cumulative delays of vehicles.It also provides a novel parameterized optimization basis for the arterial signal coordination control scheme.The results of the case study analysis show that the maximum cumulative delay of vehicles in the solution obtained by the proposed method is 7.0%lower than that of the solution strategy solely oriented towards the total delay time.The number of vehicles under 5 cumulative delay limits decreases by 54.8%,44.0%,59.1%,12.5%,and 100.0%respectively.The study shows that the proposed model can effectively control the peak of vehicle cumulative delay in the group to the greatest extent,providing a more refined signal coordination control strategy for arterials with complex flow lines.