Paper Title:
Multi-Objective Optimization Model for Urban Traffic Intersection Control Based on Data Fusion
  Abstract

A new multi-objective optimization control strategy for urban intersection is proposed, which takes the degree of smooth and the degree of equilibrium as objectives. The new method is not limited to the traditional basic traffic parameters, such as delay and queue length.etc, but Applying data fusion technology, by multiple integrating on the basic traffic parameters, the real-time multi-objective values are achieved. The degree of the smooth quantitatively denotes the forced travel time extension because of traffic signal control, saturated traffic flow.ect. The degree of equilibrium denotes the equilibrium degree of traffic flow in space. Illustrating an intersection in Beijing, a simulation model in Paramics is built. The simulation results show that the proposed multi-objective control methods can not only reduce the traffic flow delay, but also makes traffic flow distributing equilibrium in each phase of intersection. This approach is consistent with Chinese saturated traffic flow characteristics.

  Info
Periodical
Advanced Materials Research (Volumes 156-157)
Edited by
Jingtao Han, Zhengyi Jiang and Sihai Jiao
Pages
505-510
DOI
10.4028/www.scientific.net/AMR.156-157.505
Citation
W. Deng, L. M. Jia, H. H. Dong, "Multi-Objective Optimization Model for Urban Traffic Intersection Control Based on Data Fusion", Advanced Materials Research, Vols. 156-157, pp. 505-510, 2011
Online since
October 2010
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Price
$32.00
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