基于通勤班车出行者意向调查与分析,掌握班车出行行为特性,建立了基于ML模型的班车出行前端衔接方式选择模型,确定前端衔接时间.并以满足最大出行需求、线路总体通行时间最短的路径寻优双重目标,建立了班车线路优化模型,并通过启发式算法进行求解.研究结果表明,约占78.1%的班车出行者前端衔接时间占总出行时间的比例在0.2～0.5;85%以上的班车出行者希望(容忍)最早出发时间不早于实际出发时间,通过实例验证可通过通勤班车线路的优化设置来提高公共交通出行.%Based on the travel behavior character survey of shuttle bus, transfer mode model was given to estimate the potential passenger demand for a shuttle bus route to grasp the trip characteristic of shuttle bus commuters. Considering a maximum cover of the demand potential and a constraint defining the maximal travel time along the route and the arriving time, an operations research model for optimal route design was provided. And heuristic procedure is then implemented over small-sized networks. The result indicated that there are about 78 percent of the commuters whose ratio of transfer time to total time is between 0.2 and 0.5 and more than 85 percent of them hope the willing departure time is not earlier than their real departure time which indicated that they were dissatisfied with the stop location and the route. The findings show that the optimal route design of shuttle bus indeed provides good results to solve traffic congestion problem.
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