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Dynamic optimal traffic assignment and signal time optimization using genetic algorithms

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Title Dynamic optimal traffic assignment and signal time optimization using genetic algorithms
 
Creator VARIA, HR
DHINGRA, SL
 
Subject user equilibrium problem
model
networks
demand
 
Description In this article a dynamic system-optimal traffic assignment model is formulated for a congested urban road network with a number of signalized intersections. A simulation-based approach is employed for the case of multiple-origin-multiple-destination traffic flows. The artificial intelligence technique of genetic algorithms (GAs) is used to minimize the overall travel cost in the network with fixed signal timings and optimization of signal timings. The proposed method is applied to the example network and results are discussed. It is concluded that GAs allow the relaxation of many of the assumptions that may be needed to solve the problem analytically by traditional methods.
 
Publisher BLACKWELL PUBLISHERS
 
Date 2011-07-19T02:37:25Z
2011-12-26T12:50:57Z
2011-12-27T05:37:12Z
2011-07-19T02:37:25Z
2011-12-26T12:50:57Z
2011-12-27T05:37:12Z
2004
 
Type Article
 
Identifier COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 19(4), 260-273
1093-9687
http://dx.doi.org/10.1111/j.1467-8667.2004.00353.x
http://dspace.library.iitb.ac.in/xmlui/handle/10054/5148
http://hdl.handle.net/10054/5148
 
Language en