Heuristic Ant Algorithm for Road Network Traffic Coordination Control

• Published in: Journal of intelligent systems Vol. 21; no. 4; pp. 331 - 347
• Main Authors: Zhang, Minjie, Xu, Jianmin, Cai, Yanguang
• Format: Journal Article
• Language: English
• Published: Walter de Gruyter GmbH 01.12.2012; De Gruyter
• Subjects: Heuristic Ant Algorithm; Intersection Macro Model; Macro Traffic Model; Optimization Control; Signal Timing
• ISSN: 0334-1860; 2191-026X
• DOI: 10.1515/jisys-2012-0014

The defects in macro traffic model research are pointed out firstly. In order to remedy these defects, traffic movements at the grid intersection were analyzed, and with the basic framework of the traffic transmission model, the new macro traffic model used in the paper for control simulation and evaluation has been proposed. Secondly, the bi-level optimization control model is proposed, using minimal delay and maximal throughput as its upper objectives, and optimal traffic coordination on both sides as the lower objective. A corresponding heuristic ant algorithm is subsequently designed to solve the control model. Finally, the proposed method is tested at a suppositional road network, under three different demand scenarios, compared with Transyt-7F. The results show that the proposed method has better performance, especially under high demand scenarios.