Weighted congestion coefficient feedback in intelligent transportation systems

被引：41

作者：

Dong Chuan-Fei ^{[1
,3
,4
]}

Ma Xu ^{[2
,3
,4
]}

Wang Bing-Hong ^{[3
,4
,5
]}

机构：

[1] Georgia Inst Technol, Sch Earth & Atmospher Sci, Atlanta, GA 30332 USA

[2] Syracuse Univ, Dept Phys, Syracuse, NY 13244 USA

[3] Univ Sci & Technol China, Dept Modern Phys, Anhua 230026, Peoples R China

[4] Univ Sci & Technol China, Ctr Nonlinear Sci, Anhua 230026, Peoples R China

[5] Shanghai Univ Sci & Technol, Res Ctr Complex Syst Sci, Shanghai 200093, Peoples R China

来源：

PHYSICS LETTERS A | 2010年 / 374卷 / 11-12期

基金：

中国国家自然科学基金; 高等学校博士学科点专项科研基金;

关键词：

Congestion coefficient feedback; Weighted transportation systems; Cellular automaton model; TRAFFIC FLOW MODEL; INFORMATION; EQUATIONS; DYNAMICS; PHYSICS;

D O I：

10.1016/j.physleta.2010.01.011

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In traffic systems, a reasonable information feedback can improve road capacity. In this Letter, we study dynamics of traffic flow with real-time information. And the influence of a feedback strategy named Weighted Congestion Coefficient Feedback Strategy (WCCFS) is introduced, based on a two-route scenario in which dynamic information can be generated and displayed on the board to guide road users to make a choice. Our model incorporates the effects of adaptability into the cellular automaton models of traffic flow and simulation results adopting this optimal information feedback strategy have demonstrated high efficiency in controlling spatial distribution of traffic patterns compared with the other three information feedback strategies, i.e., vehicle number and flux. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：1326 / 1331

页数：6

共 27 条

[1] DOES PROVIDING INFORMATION TO DRIVERS REDUCE TRAFFIC CONGESTION [J].