摘要：互联网公交是一种新的更为灵活与定制化的公共交通方式，但现阶段仍缺少一系列合理并行之有效的站点动态分级管理措施和基于差异定价的运营调度方法。本文通过收集乘客出行信息和公交站点的基础数据，在充分考虑乘客出行需求、出行OD、出行时间，和站点周围土地利用、基础设施建设、道路路网密度、以及人口密度等数据的基础上，对公交站点进行动态评分、动态分级，并对不同等级的站点差异定价，灵活公交选择性到达。通过建模对不同时段的灵活公交进行优化调度，从而达到更好的全线路收益。案例结果表明：高峰时段系统收益增加5%，平峰时段系统收益增加18.09%，可以较好的达到公交公司和乘客双方共赢的局面。

Abstract: The flexible transit is a new kind of public transit that are more customized. But it doesn’t work well because the lack of reasonable and effective bus stops dynamic hierarchical management measures and operation scheduling method. In this paper, we use the data of bus stops and passengers, including passengers’ OD demand, travel time, bus stop land use, road network and population intensity etc. We evaluate the bus stops dynamically according to their score and rate rules, then select the bus stops which to be serviced and priced the tickets fee. The optimal model can reach a good overall system income in flexible transit system at different hours. The case study shows that the system profit is improved by 5% during the peak hours and 18.09% during off-peak hours, which means that the bus company and the passengers could be mutually beneficial preferably.