Flux information feedback strategy in intelligent traffic systems

被引:33
|
作者
Chen, B. -K. [1 ]
Tong, W. [1 ]
Zhang, W. -Y. [1 ]
Sun, X. -Y. [2 ]
Wang, B. -H. [1 ,3 ,4 ]
机构
[1] Univ Sci & Technol China, Dept Modern Phys, Hefei 230026, Peoples R China
[2] Nanning Normal Univ, Coll Phys & Elect Engn, Nanning 530001, Peoples R China
[3] Univ Shanghai Sci & Technol, Res Ctr Complex Syst Sci, Shanghai 200093, Peoples R China
[4] Shanghai Acad Syst Sci, Shanghai 200093, Peoples R China
基金
高等学校博士学科点专项科研基金; 中国国家自然科学基金;
关键词
FLOW MODEL; TRANSITION; PHYSICS;
D O I
10.1209/0295-5075/97/14001
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
To effectively alleviate the traffic congestion in urban areas, scientists and engineers have put forward intelligent traffic systems. The information feedback strategy, serving as the critical part of intelligent traffic systems, has been treated with growing emphasis. In this paper, we present two new strategies using the flux as feedback information. One is the time flux feedback strategy (TFFS), the other is the space flux feedback strategy (SFFS). We report the simulation results adopting these two feedback strategies together with the other previously reported ones in a two-route scenario with two exits. The result suggests that SFFS, which outperforms the other categories of feedback strategy, not only in terms of the value of vehicle number and average flux but also in terms of convenience of its application to real traffic conditions, is the best. Copyright (C) EPLA, 2012
引用
收藏
页数:6
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