Premium
Dynamic Optimal Traffic Assignment and Signal Time Optimization Using Genetic Algorithms
Author(s) -
Varia H. R.,
Dhingra S. L.
Publication year - 2004
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/j.1467-8667.2004.00353.x
Subject(s) - computer science , genetic algorithm , signal (programming language) , mathematical optimization , travel time , relaxation (psychology) , assignment problem , algorithm , crossover , signal timing , traffic signal , real time computing , mathematics , engineering , artificial intelligence , machine learning , transport engineering , psychology , social psychology , programming language
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.