交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (4): 23-29.

• 综合交通运输体系论坛 • 上一篇    下一篇

基于建设成本约束的公路网结构演化研究

龙雪琴*1,王建军1,关宏志2   

  1. 1.长安大学公路学院西安710064;2. 北京工业大学交通工程北京市重点实验室,北京100124
  • 收稿日期:2013-12-16 修回日期:2014-03-16 出版日期:2014-08-25 发布日期:2014-09-16
  • 作者简介:龙雪琴(1982-),讲师,工学博士.
  • 基金资助:

    中央高校基金重点项目(2013G2212024)

Self-organization of Roads Network Structure Based on Restraint of Construct Cost

LONG Xue-qin1,WANG Jian-jun1, GUAN Hong-zhi2   

  1. 1. School of Highway, Chang’an University, Xi’an 710064, China; 2. Beijing Key Lad of Transportation of Engineering, Beijing University of Technology, Beijing 100124, China
  • Received:2013-12-16 Revised:2014-03-16 Online:2014-08-25 Published:2014-09-16

摘要:

通过简化公路网系统,建立了公路网结构自组织演化框架,对演化过程进行了 仿真研究.首先,在给定各城市社会经济状况条件下,研究各城市节点间的连接概率,建立 初始路网;然后,在初始路网的基础上,通过交通分布和分配获得各道路的饱和度;最后, 以降低出行时间为目的,在建设成本最小的约束条件下,通过扩大路网规模或提高道路 等级,更新路网结构.本文以一个城市圈为对象,对路网演化过程进行了仿真.研究发现, 路网规模和等级更新存在一定的规律,城市圈内部的道路等级高于外部,且不相邻城市 间的道路等级一般较低.

关键词: 交通工程, 路网结构演化, 等级更新模型, 公路网, 出行效率

Abstract:

Through simplifying the roads network, this paper designs the road network structure self-organization frame by simulation methods. First, under the given conditions of each city’s socio-economic state, it analyzes the connection probability among the cities and established the initial network. Then, based on the initial network, it obtains the saturation of each road through traffic distribution and assignment. Finally, for the purpose of reducing the travel time, under the constraints of minimum construction cost, the road network is updated through expanding network scale or improving road hierarchies. Taken a city circle as an example, the paper simulates the evolution frame of road network. The result indicates that certain rules are present during updating of road network scale and hierarchies. The road hierarchies internal are higher than the external on the circle, and hierarchies of road between noncontiguous cities are always low.

Key words: traffic engineering, road network structure evolution, hierarchy updating model, road network, travel efficiency

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