Multi-Objective Optimization Model for Urban Traffic Intersection Control Based on Data Fusion

Abstract:

Article Preview

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 et al., "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

Export:

Price:

$35.00

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

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