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基于GIS和灰色模糊决策理论的自适应路线智能优选系统
引用本文:张甫仁. 基于GIS和灰色模糊决策理论的自适应路线智能优选系统[J]. 交通运输工程学报, 2007, 7(5): 106-111.
作者姓名:张甫仁
作者单位:重庆交通大学 机电与汽车工程学院, 重庆 400074
基金项目:重庆市教委科技项目(KJ060408)
摘    要:为满足驾驶员路线选择的个性喜好和保障道路畅通, 在分析影响驾驶员路线优选因素的基础上, 提出了路线优选指标体系, 引入灰色模糊决策理论, 建立了基于GIS的智能路线优选系统, 采用动态数据更新的Web信息共享方法, 保证了路线优选的适时性。实例应用结果表明: 系统具有直观、形象的交通图形显示功能, 使驾驶员能够根据自己偏好与地图提示, 准确地找到最优路线, 提高了自适应路线优选的效率与可信度。

关 键 词:智能交通   智能优选系统   自适应路线选择   GIS   灰色模糊决策理论
文章编号:1671-1637(2007)05-0106-06
修稿时间:2007-01-20

Intelligent selection system of adaptive optimal route based on GIS and grey-fuzzy decision theory
Zhang Fu-ren. Intelligent selection system of adaptive optimal route based on GIS and grey-fuzzy decision theory[J]. Journal of Traffic and Transportation Engineering, 2007, 7(5): 106-111.
Authors:Zhang Fu-ren
Affiliation:School of Mechatronics and Automotive Engineering, Chongqing Jiaotong University, Chongqing 400074, China
Abstract:In order to satisfy drivers' individual interests of route selection and ensure expedite road traffic,the influence factors of drivers' route selection were analyzed,an optimum index system of route selection was designed,grey-fuzzy decision theory and GIS technique were introduced,an intelligent selection system of adaptive optimal route was put forward,and Web information share method of dynamic data update was adopted to ensure the dynamic property of route selection.Applying result shows that the system can display traffic figures intuitively and visually,driver can well and truly find optimal driving route according to individual interest and traffic figures,and the efficiency and dependability of adaptive optimal route selection are enhanced.2 tabs,7 figs,15 refs.
Keywords:intelligent transportation  intelligent selection system  adaptive route selection  GIS  grey-fuzzy decision theory
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