城市公交多模式联运网络分析及出行规划方法研究

Based on the analysis of the concept and logic model of the traffic network, the feature-based traffic model of the multi-modal urban public transport network is researched from the aspects of rich network characteristics and connectivity, and the extraction of the vector data of geometric topology characteristic of the network model and the spatial clustering simplification are realized. Thus the transportation geographic information system (GIS-T) network database which is suitable for the analysis of the multi-modal urban traffic network can be constructed. Then the multi-modal urban public transportation combined transport scheduling model is constructed by analyzing the travel mode choice behavior of the residents which based on the theory of the traffic network model, and considering the resident travel cost, bus operation cost and social benefits synthetically. The collaborative optimization algorithm based on the heuristic method and mathematical programming methods is constructed in view of the proposed scheduling model，and further optimized under the idea of evolutionary tree classification. Aiming at the urban public transport system, the Web-based multi-modal urban public transportation planning system is developed combining the road vector based data, and the effectiveness of the algorithm and the travel scheduling model are verified. The project research is benefit to improve the satisfaction of urban residents transit trip, lead to individual motorized travel to multimodal transport system, and promote the establishment of the "Smooth, Efficient, Safety, Green" urban public transport environment. It also actively promotes the implementation of the strategy of city bus priority and the low carbon city strategy.

在分析交通网络概念模型和逻辑模型的基础上，从富网络特征及连通性分析两个方面，研究基于特征的多模式城市公共交通联运网络模型，实现网络模型的矢量数据几何拓扑特征提取、空间聚类简化，从而构建适于多模式城市交通网络分析的交通地理信息系统（GIS-T）网络数据库；基于超级交通网络模型理论分析居民出行方式选择行为，综合考虑居民出行成本、公交运行成本及社会效益，建立多模式城市公共交通出行联运调度模型；围绕提出调度模型，构造基于启发式方法和数学规划方法的协同优化算法，结合进化树分类思想进行优化；针对市域公交体系，结合道路矢量基础数据，开发基于Web的多模式城市公共交通出行规划系统，验证调度模型及求解算法的有效性。项目研究有利于提升城市居民公交出行满意度，引导个体机动化出行方式向多模式公交系统转移，促进“畅通高效安全绿色”城市公共交通环境的建立，为城市公交优先战略的实施和低碳城市战略的实现起到积极推动作用。

在分析交通网络概念模型和逻辑模型的基础上，从富网络特征及连通性分析两个方面，研究基于特征的多模式城市公共交通联运网络模型，实现网络模型的矢量数据几何拓扑特征提取、空间聚类简化，从而构建适于多模式城市交通网络分析的交通地理信息系统（GIS-T）网络数据库；基于超级交通网络模型理论分析居民的出行方式选择行为，建立多模式城市公共交通出行联运调度模型；围绕提出调度模型，构造基于启发式方法和数学规划方法的协同优化算法；结合杭州市1:10000道路矢量基础数据，开发基于Web的多模式城市公共交通出行规划系统，验证出行调度模型及求解算法的有效性。项目研究有利于提升城市居民公交出行满意度，有助于引导个体机动化出行方式向多模式公交系统转移。 .项目培养博士研究生3名，硕士研究生31名，共发表论文29篇，其中SCI收录13篇，EI收录6篇，申请国家发明专利33项，其中，授权国家发明专利11项，软件著作权登记18项。