A Multimodal Hierarchical-based Assignment Model for Integrated Transportation Networks

A hierarchical network and traffic assignment model is developed for multimodal transportation networks to meet the prediction of large-scale transportation demand in this paper. In the proposed model, the city center and transportation terminal of different modes are defined as central nodes and transfer nodes respectively to characterize travel behavior of passengers. The generalized cost function and route choice algorithm are also correspondingly improved to suit the proposed model. A computer-aided demand model is also developed to efficiently attain the analysis results for large-scale transportation networks. The applicability and availability of the demand model is illustrated by the case studies over Jing-Hu high speed railway in China.

摘要针对综合运输网络运量预测需求 建立了多式网络分层分配模型 以分层网络拓扑结构和相应路径搜索算法的改进为重点 建立了适合分层网络结构的运量分配模型。分层网络模型中心节点代表城市中心和换乘枢纽 相应地构建适用分层网络结构的广义费用函数、路径搜索算法。以本文方法研究为基础开发了辅助计算系统 用于解决大规模运输网络的运输需求预测问题。以在建的京沪高速铁路沿线运输网络为研究案例 研究结果验证了本文构建的多方式分层分配模型的有效性与实用性。