交通运输系统工程与信息 ›› 2010, Vol. 10 ›› Issue (6): 141-144 .

• 系统工程理论与方法 • 上一篇    下一篇

基于驾驶员偏好的最优路径选择

韦增欣1;陈进来*1;罗朝晖1,2   

  1. 1. 广西大学 数学与信息科学学院,南宁 530004;2.广西百色学院 数学与计算机信息工程系,广西 百色 533000
  • 收稿日期:2010-05-18 修回日期:2010-08-19 出版日期:2010-12-25 发布日期:2010-12-25
  • 通讯作者: 陈进来
  • 作者简介:韦增欣(1962-),男,广西武鸣人,教授,博士生导师.
  • 基金资助:

    国家自然科学基金 (10761001)

Optimal Path Selection Based on Driver’s Preference

WEI Zeng-xin1 ; CHEN Jin-lai1; LUO Chao-hui1,2   

  1. 1. School of Mathematics and Information Science, Guangxi University, Nanning 530004 , China ;2. Department of Mathematics and Computer Information Engineering, Baise University, Baise 533000, Guangxi, China
  • Received:2010-05-18 Revised:2010-08-19 Online:2010-12-25 Published:2010-12-25
  • Contact: CHEN Jin-lai

摘要: 现实生活中,驾驶员往往依据自身偏好来选择路径,对不同的路径属性有不同的要求,且对其属性值存在一个可接受范围,而不是一个精确值. 本文对存在驾驶员偏好的最优路径选择问题进行了研究,提出了一种能够综合反映驾驶员偏好的最优路径选择方法. 首先基于可能度和区间数相离度的多属性决策方法,建立驾驶员偏好与路径属性总偏差最小的优化模型,并解出路径属性权重;其次算出各路径的综合属性值,建立路径间的可能度矩阵及其排序向量,据此选出最优路径;最后以算例进行验证,结果表明本文给出的路径选择方法具有很好的可行性和适用性.

关键词: 城市交通, 多属性决策, 路径选择, 驾驶员偏好, 交通诱导系统

Abstract: Drivers often make route choices according to their preference in our real life. They have different requirements for different path attributes whose values are in the acceptable range rather than a precise value. In this paper, the problem for optimal path selection with driver’s preference is studied and optimal path selection method is put forward to comprehensively reflect preference. Firstly, considering the multi-attribute decision-making method based on possibility degree and interval number’s deviation degree, the author presents an optimization model by minimizing total deviation of driver’s preference from path attribute value and counts out the path attribute weight. Secondly, depending on obtaining comprehensive attribute value of each path, possibility degree matrix and ordering vector are built between paths and the optimal path is found. Finally, an example is given to verify that the path selection method has good feasibility and applicability.

Key words: urban traffic, multi attribute decision making, route choice, driver’s preference, traffic guidance system

中图分类号: