Stochastic Dynamic Traffic Assignment Model under Emergent Incidents

被引：7

作者：

Ji, Xun ^{[1
]}

Shao, Chunfu ^{[1
]}

Wang, Bobin ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, MOE Key Lab Urban Transportat Complex Syst Theory, Beijing 100044, Peoples R China

来源：

GREEN INTELLIGENT TRANSPORTATION SYSTEM AND SAFETY | 2016年 / 138卷

关键词：

Stochastic dynamic traffic assignment; User optimum; Variational inequality formulation; Emergent incidents;

D O I：

10.1016/j.proeng.2016.01.299

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Urban emergent incidents affect transportation operation and result in the rapid spread of traffic congestion in network, so it's necessary to analyze the dynamic changes of traffic flow distribution under emergent incidents. Therefore, model and algorithm for the dynamic traffic assignment problem under emergent incidents have been highly concerned by government and scholars. This paper proposes a stochastic dynamic traffic assignment (SDTA) model based user optimum considering the loss of node capacity and change of network structure under traffic and environment emergencies. The Nested Logit model is used to describe the departure time and path choice. Then, the variational inequality formulation is proposed and discrete dynamic network loading algorithm is designed and validated by a numerical example. The results show that the model and algorithm can be used to express the development trend of actual dynamic network under emergency. (C) 2016 The Authors. Published by Elsevier Ltd.

引用

页码：620 / 629

页数：10

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