多模式交通网络路径动态调整模型

Route-swapping Dynamic Model on Multi-modal Traffic Network

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.

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 travelers＇ 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 swapping and maintain solution variance; The stationary path flow state of MRSD is equivalent to the multi-modal 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.