会议专题

Study on Road Network Bi-level Programming Under the Traffic Flow Guidance

A network design problem is formulated as a bi-level program generally. In the traffic system, on the one hand, guidance facilities are invested and built. On the other hand, travelers can choose their paths according to both guidance information and their experience, in this paper, based on the relationship above, the optimization plan is established. The objective function at the upper level is defined as the total travel time on the network, plus total investment costs of guidance facilities. The lower level problem is formulated as a stochastic user equilibrium model. General genetic algorithm (GA) is used to find the optimal solution. Rough set help GA work faster. Attributes reduction of rough set is adopted to filtrate new chromosome comes from crossover operation of GA. The result of a road network example verified high efficient of this combined method.

stochastic user equilibrium rough set Genetic algorithm bi-level programming traffic flow guidance

Zhang Liangzhi He minai Zhang Liangzhi Zhang Mengmeng

Department of Traffic and Logistic Engineer Shandong Jiaotong University Jinan, china School of Control Science and Engineer Shandong University Jinan, China

国际会议

2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

长沙

英文

2885-2888

2010-03-13(万方平台首次上网日期,不代表论文的发表时间)