多模式交通网络路径动态调整模型

既有路径调整模型的研究载体是单模式网络，不能够刻画现实中多模式网络上 出行者的路径调整行为.为此，本文提出采用比例延拓与绝对延拓两种方法来描述多模式 网络中用户对不同出行方式的费用感知特性，并据此建立了多模式网络条件下的用户路 径动态调整模型（Multi-modal Route-Swapping Dynamics, 简称 MRSD）.研究发现：（1） MRSD 能避免过度调整行为,并能维持解集不变性；（2）MRSD 的稳定路径流模式与多模 式网络用户均衡等价，且在其稳定状态，模式内部所有被使用的路径具有相同且最小的 实际费用，模式之间所有被使用的路径之间存在（符合比例延拓或绝对延拓的）费用感知 壁垒；（3）MRSD 的所有解有界且收敛于多模式网络用户均衡.

Route-swapping Dynamic Model on Multi-modal Traffic Network

The research carrier of existing route-swapping models is the single mode traffic network. These models cannot describe travelers’route- swapping behaviors on actual multi- modal network. For this, this study suggests utilizing two methods, i.e., proportional expansion and absolute expansion, to capture travel- ers’cost perception psychology towards different travel modes on multi-modal network. The corresponding multi-modal route-swapping dynamic (MRSD) is developed. It is founded that: MRSD can avoid over swap- ping and maintain solution variance; The stationary path flow state of MRSD is equivalent to the multi-mod- al user equilibrium; at stationary path flow state, those used routes within the same mode have the same and minimum actual cost, while cost perception barrier exists between two utilized routes within different modes; All the solutions of MRSD are bounded and converge to the multi-modal user equilibrium.