Paper Title:
A Multi-Objective Optimization Method for Coordinated Control
  Abstract

In this paper, to overcome the limitations of the weighted combination and single objective optimization methods, we presented a multi-objective optimization and simulation methodology for network-wide traffic signal control. A multi-objective genetic algorithm based on Non-dominated Sorting Genetic Algorithm II was given to solve the model directly to obtain Pareto optimal solution set. The objectives were evaluated by Enhanced Cell Transmission Model used to describe traffic dynamics on signalized urban road network. The results showed that the single objective optimization method made some of the objectives worsen when the objective to be optimized reaching optimal, and that the weighted combination optimization method gained a compromised solution, but the multi-objective optimization method gave consideration to more objectives, making the number of optimal or suboptimal ones is more than that of worse ones.

  Info
Periodical
Chapter
Chapter 7: Traffic Control and Information Technology
Edited by
Shucai Li
Pages
942-946
DOI
10.4028/www.scientific.net/AMM.97-98.942
Citation
Y. F. Gao, H. Hu, T. Wang, X. G. Yang, "A Multi-Objective Optimization Method for Coordinated Control", Applied Mechanics and Materials, Vols. 97-98, pp. 942-946, 2011
Online since
September 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Fei Hu, Zhi Guo Zhao
Abstract:Hybrid Electric Vehicle (HEV) provides fairly high fuel economy with lower emissions compared to conventional vehicles. To enhance HEV...
912
Authors: Jin Biao Zhang, Jing Wen Wang, Zong Yin Duan
Abstract:More and more attention is being paid to extrusion with multi-hole die in the manufacturing industry because of its advantages of high...
1548
Authors: Yan Gao
Abstract:For poor accuracy of detection of the urban traffic network classification, the Support Vector Machine (SVM)is applied to classification of...
489
Authors: Hong Zhi Liu, Li Na Liu
Abstract:We build up a multi-objective location model of emergency logistics center location, The model combined the construction cost of emergency...
277
  | Authors: Qing Song Ai, Zhou Liu, Yan Wang
Chapter 1: Computer Science and Theory, Related Studies
Abstract:In order to adapt to the rapid development of the manufacturing industry, product genetic engineering arises at the historic moment. Finding...
116