中文摘要：

公交车辆调度方案的优化对于提高公交服务水平，促进公交事业的快速发展至关重要．在乘客与公交公司利益博弈的基础上，基于极小极大思想，考虑公交车车辆容量的限制及城市道路信号控制的干扰因素，建立公交发车间隔优化模型，并利用非支配排序遗传算法（NSGA）进行模型的求解．以河南省焦作市的公交线路为例进行验证，优化结果显示乘客的平均等车时间相对减少48．3％，公交车的全日平均满载率下降了3．8％，公交服务水平有所改善．

英文摘要：

Optimized buses scheduling scheme is essential to improve transit service levels and promote rapid development of public transport.Taking account of the interest game between passengers and bus company and considering the vehicle capacity constraint of buses and confounding factors of urban road signal control,a bus departure interval optimization model was built in the light of the minimax idea,and then the non-dominated sorting genetic algorithm (NSGA)was used to solve the model.The case of bus lines in Jiaozuo,Henan Province,was taken as an example to illustrate the improvement of transit service levels due to the optimization scheduling.The results show that the average waiting time of passengers is reduced by 48.3%and the average load factor of buses per full day is decreased by 3 .8%.