Optimal Route Selection Method Based on Grey Incidence Analysis

摘要：

One function of an in-vehicle traffic flow guidance system is route planning. Given a set of origin-destination (O/D) pair, there could be many possible routes for a driver. A useful traffic flow guidance system should have the capability to support the driver effectively in deciding on an optimal route to his preference. The objective of this work is to model the driver behavior in the area of route selection. In particular, the research focuses on an optimal route selection function in a typical invehicle navigation system or dynamic route guidance (DRG) system. In this paper, we want to emphasize the need to orientate the route selection method on the driver’s preference. Each feasible route has a set of attributes. Based on the improved AHP and grey incidence analysis, an adaptive optimal route selection method to a driver’s preference is proposed, and the corresponding decision support system is also developed, which paves for the development of the traffic flow guidance system.

关键词： optimal route selection grey incidence analysis AHP driver’s preference decision support system

作者: Yan Sun Yi Wu Zheng Sun

作者单位: College of Engineering Ocean University of China Qingdao, Shandong Province, China College of Envirmental Science and Engineering Ocean University of China Qingdao, Shandong Province,

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）