Applicable Prevention Method of Braess Paradox in Urban Traffic Flow Guidance System

被引：0

作者：

Yang Z. ^{[1
]}

Gao P. ^{[1
]}

Li M. ^{[2
]}

Zhang N. ^{[3
]}

机构：

[1] State Key Laboratory of Automotive Simulation and Control, School of Traffic, Jilin University, NO.5988 Renmin street, Changchun

[2] School of Biological and Agricultural Engnineering, Jilin University, NO.5988 Renmin street, Changchun

[3] Graduate School of Information Sciences, Tohoku University, Miyagi, Sendai

来源：

International Journal of Computational Intelligence Systems | 2011年 / 4卷 / 6期

关键词：

Braess Paradox; dynamic restricted searching area; K-shortest path optimization; urban traffic flow guidance system;

D O I：

10.2991/ijcis.2011.4.6.17

中图分类号：

学科分类号：

摘要：

Urban Traffic Flow Guidance System (UTFGS) may cause the overreaction and concentration of travelers and lead to the phenomenon of Braess Paradox. The paper develops a constrained K-shortest paths algorithm within a dynamic restricted searching area in consideration of realistic road network spatial distribution features. Through the test with the microscopic transportation simulation tool VISSIM, the algorithm could not only decrease the searching scale but also efficiently balance the traffic flow in the net and avoid the phenomenon of Braess Paradox. © 2017, Atlantis Press.

引用

页码：1254 / 1261

页数：7

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