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

被引：3

作者：

Yang, Zhaosheng ^{[1
]}

Gao, Peng ^{[1
]}

Li, Mo ^{[2
]}

Zhang, Nan ^{[3
]}

机构：

[1] Jilin Univ, Sch Traff, State Key Lab Automot Simulat & Control, Changchun 130022, Peoples R China

[2] Jilin Univ, Sch Biol & Agr Engn, Changchun 130022, Peoples R China

[3] Tohoku Univ, Grad Sch Informat Sci, Sendai, Miyagi 9808579, Japan

来源：

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2011年 / 4卷 / 06期

关键词：

urban traffic flow guidance system; Braess Paradox; K-shortest path optimization; dynamic restricted searching area; ROUTE CHOICE; INFORMATION; BEHAVIOR; DESIGN; SAFETY; MODELS;

D O I：

10.1080/18756891.2011.9727874

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：1254 / 1261

页数：8

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