城市道路网络动态优化选择方法研究

计算机工程与应用 ›› 2014, Vol. 50 ›› Issue (13): 243-246.

城市道路网络动态优化选择方法研究

李晓丹1，2

1.上海应用技术学院计算机科学与信息工程学院，上海 201418
2.上海济祥智能交通科技有限公司事业部，上海 200092

出版日期:2014-07-01 发布日期:2015-05-12

Study on selection method of urban road network to dynamically optimize

LI Xiaodan1，2

1.School of Computer Science & Information Engineering, Shanghai Institute of Technology, Shanghai 201418, China
2.Department of Developement，Shanghai Jixiang Intelligent Transportation Technology Co. Ltd., Shanghai 200092, China

Online:2014-07-01 Published:2015-05-12

摘要/Abstract

摘要： 基于解决动态路径诱导算法中的实时性、动态性和人的选择行为，提出了基于实时交通状态因素的动态道路优先等级指数的确定方法，建立了连线交通相似度的模型，研究了道路网络的动态分层规则和方法，实现了路网的动态优化选择，并通过简单的算例进行了验证分析。该方法具有很强的可操作性和应用价值。

关键词: 动态路径诱导, 连线拥挤度, 交通相似度, 道路动态分层

Abstract: Based on the dynamic route guidance algorithm to solve the real time, dynamic characteristic and the choice behavior, this paper puts forward the real-time traffic condition factors based on dynamic road method to determine the priority level index, a traffic similarity model attachment, the road network dynamic layered rules and methods, realizes dynamic optimization options of road network, and through the example of a simple analysis of the validation. This method has the very strong maneuverability and application value.

Key words: dynamic route guidance, attachment crowded degree, traffic similarity, road dynamic layered

李晓丹1，2. 城市道路网络动态优化选择方法研究[J]. 计算机工程与应用, 2014, 50(13): 243-246.

LI Xiaodan1，2. Study on selection method of urban road network to dynamically optimize[J]. Computer Engineering and Applications, 2014, 50(13): 243-246.

[1]	张玲¹,高淑萍¹,王进鑫². 动态多路径选择的混合演化算法[J]. 计算机工程与应用, 2009, 45(8): 200-203.
[2]	杜长海,黄席樾,杨祖元,唐明霞,杨芳勋. 改进的蚁群算法在动态路径诱导中的应用研究[J]. 计算机工程与应用, 2008, 44(27): 236-239.
[3]	文雅陈群晏克非. 基于蚂蚁算法的PGIS中动态路径诱导技术研究[J]. 计算机工程与应用, 2007, 43(7期): 215-216.