|Table of Contents|

Self-adaptive model of combining user equilibrium and signal control(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2010年05期
Page:
85-88
Research Field:
Publishing date:
2010-10-20

Info

Title:
Self-adaptive model of combining user equilibrium and signal control
Author(s):
SUN Qiang;  MA Rong-guo
School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China
Keywords:
traffic engineering;  user equilibrium;  signal timing;  combined model;  self-adaptive
PACS:
U491.51
DOI:
-
Abstract:
The route choice behavior of travelers is not considered in the traditional traffic signal design method, since the traffic volume used in signal timing calculation is based on the on-site survey before the change of the signal. Because travelers reevaluate the route travel cost and update their travel routes, the real traffic volume after the change of the signal timing will deviate from the surveyed data. This paper proposes a new self-adaptive model of combining user equilibrium and signal control, which can be used to optimize intersection signal timing considering the route choice behavior of travelers. Here the user equilibrium model is used to describe the travel route updating after the change of the signal timing, and the signal timing will be renewed based on the altered network flow. The two processes of user equilibrium and signal timing repeat iteratively, until the route flow and signal timing become stable and convergent. The numerical example shows that the computation convergence is faster if the drivers are more sensitive in perceiving the difference of route costs. 1 tab, 4 figs, 9 refs.

References:

[1] 李 艳,樊晓平.基于模糊控制的城市交叉路口群信号控制及仿真[J].交通运输工程学报,2003,3(2):117-119. LI Yan,FAN Xiao-ping.Fuzzy logic control and simulation of urban traffic intersections group[J].Journal of Traffic and Transportation Engineering,2003,3(2):117-119.
[2]常云涛,彭国雄.基于遗传算法的城市干道协调控制[J].交通运输工程学报,2003,3(2):106-112. CHANG Yun-tao,PENG Guo-xiong.Urban arterial road coordinate control based on genetic algorithm[J].Journal of Traffic and Transportation Engineering,2003,3(2):106-112.
[3]万绪军,陆化普.线控系统中相位差优化模型的研究[J].中国公路学报,2001,14(2):99-102. WAN Xu-jun,LU Hua-pu.An optimal offset model for artery traffic signal control system[J].China Journal of Highway and Transport,2001,14(2):99-102.
[4]Abolpour B,Javan M,Karamouz M.Water allocation improvement in river basin using adaptive neural fuzzy reinforcement learning approach[J].Applied Soft Computing,2007,7(1):265-285.
[5]Werbos P J.Using ADP to understand and replicate brain intelligence:the next level design[C]//IEEE.Proceedings of IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning.Honolulu:IEEE,2007:209-216.
[6]彭国雄,张 扬.叠加相位设计方法研究[J].中国公路学报,2001,14(S1):59-62. PENG Guo-xiong,ZHANG Yang.Study of the way of setting ripple changes[J].China Journal of Highway and Transport,2001,14(S1):59-62.
[7]张铁军.计算机迭代法信号配时优化在城市交通管理中的应用[J].现代城市研究,2003(S2):81-84. ZHANG Tie-jun.Application of signal distributed phase time based on computer iteration in urban traffic management[J].Urban Research,2003(S2):81-84.
[8]Akcelik R.The highway capacity manual delay formula for signalized intersections[J].ITE Journal 1998,58(1):23-27.
[9]葛 亮,王 炜,陈学武,等.信号控制交叉口配时优化研究[J].交通与计算机,2003,21(5):7-10. GE Liang,WANG Wei,CHEN Xue-wu,et al.Research into signal control cross distributed phase time optimization[J].Computer and Communications,2003,21(5):7-10.

Memo

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Last Update: 2010-10-20