交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (5): 172-177.

• 系统工程理论与方法 • 上一篇    下一篇

城市兴趣点指路标志指引路径规划模型及算法

黄敏*,郑健,刘芳   

  1. 中山大学 工学院广东省智能交通系统重点实验室, 广州510006
  • 收稿日期:2016-03-03 修回日期:2016-05-12 出版日期:2016-10-25 发布日期:2016-10-25
  • 作者简介:黄敏(1975-),女,广东顺德人,副教授,博士.
  • 基金资助:

    广东省科技计划项目/ Science and Technology Project of Guangdong Province (2015B010110005, 2014A020218004, 2016B090918038, 2016A020223006);广州市科技计划项目/ Science and Technology Project of Guangzhou (201510010247);高 校基本科研业务费/ Fundamental Research Funds for Universities (15lgpy10).

Model and Algorithm of Guiding Path Planning for Urban POI Guide Signs

HUANG Min, ZHENG Jian, LIU Fang   

  1. Guangdong Provincial Key Laboratory of Intelligent Transportation System, School of Engineering, Sun Yat-sen University, Guangzhou 510006, China
  • Received:2016-03-03 Revised:2016-05-12 Online:2016-10-25 Published:2016-10-25

摘要:

兴趣点指路标志指引路径规划过程中,不仅需要考虑指引路径的长度,还需要考虑布设成本因素.本文首先基于道路网络的拓扑表达,考虑指引路径长度和设置指路标志数量,以两者综合代价最小为目标,建立了从重要道路出入口到兴趣点的指路标志指引路径的线性规划模型;然后结合人工蜂群算法,设计了求解该规划问题的算法.最后以广州大学城为试验区域,利用上述模型规划了从重要道路南沙港快线出口到兴趣点中山大学的指路标志指引路径,并与指路标志布设现状进行对比分析,对比结果表明,该模型兼顾了布设路径的便捷性和指路标志布设成本的特点,更具可行性.

关键词: 城市交通, 兴趣点指路标志, 指引路径, 线性规划模型, 人工蜂群算法

Abstract:

In the process of planning guiding path of urban POI guide signs, both the length of path and number of deployed guide signs need to be considered. However, most of the traditional models only consider the path length, which have drawback for path planning. Based on the representation of road network, a linear programming model is constructed in this paper. In this linear programming model, the length of planned path and the number of deployed guide signs are taken as the optimization indicators. Then combining with the artificial bee colony algorithm, the algorithm is designed to solve the guiding path planning problem for guide signs in urban. Finally, Guangzhou Higher Education Mega Center is chosen as the test area. A planned path for guide sign deployment from the exit of Nansha Gang expressway to Sun Yat- Sen University is found out using the proposed model. Comparing with the present station of guide signs, the path planned by the proposed method in this paper can balance the requirement of convenience of guiding path and the cost of guide sign panel manufacture and deployment. And the model proposed in this paper is more feasible and effective.

Key words: urban traffic, POI guide signs, guiding path, linear programming model, artificial bee colony algorithm

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