中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2017, Vol. 36 ›› Issue (12): 102-109.DOI: 10.3969/j.issn.1674-0696.2017.12.17

• Traffic & Transportation Engineering • Previous Articles     Next Articles

A Multi-objective Public Transit Network Planning Model

HU Jihua1,2,GAO Lixiao1,2,LIANG Jiaxian1,2,CAI Ming1,2   

  1. (1. Research Centre of Intelligent Transportation,Sun Yat-sen University,Guangzhou 510006, Guangdong,P. R. China; 2. Guangdong Provincial Key Laboratory of Intelligent Transportation System, Guangzhou 510006,Guangdong,P. R. China)
  • Received:2016-06-15 Revised:2016-09-18 Online:2017-12-18 Published:2017-12-18

一种多目标的公交线网规划模型

胡继华1,2,高立晓1,2,梁嘉贤1,2,蔡铭1,2   

  1. (1. 中山大学 智能交通研究中心,广东 广州 510006; 2. 广东省智能交通系统重点实验室,广东 广州 510006)
  • 作者简介:胡继华(1971—),男,河南信阳人,讲师,博士,主要从事地图学、地理信息系统和时态GIS方面的研究。E-mail: hujihua@mail.sysu.edu.cn。〓〖HT6H〗通信作者:〖HT6SS〗
  • 基金资助:
    国家自然科学基金项目(41271181);广东省科技计划项目(2015B010110005)

Abstract: Transit network planning is one of the important parts of urban traffic planning. A multi-objective programming model for public transit network was proposed to address the transit network planning problem. The objective function of the proposed model was to minimize the total travel time and the total numbers of transfers as well as to maximize the demand density of the network. Taboo search and simulated annealing algorithms were used to solve the proposed model. The proposed model and algorithms were tested by using the Sioux-falls network. The results show that compared with previous studies,the results of the proposed model have higher nonstop ratio,less transfer times,better service level and attractiveness of public transport. Compared with the taboo search algorithm,the simulated annealing results have higher nonstop ratio,larger demand density and higher efficiency. Therefore,the proposed model can be effectively applied to the planning of public transport network.

Key words: traffic engineering, urban traffic, transit network planning, taboo search, simulated annealing, transit network

摘要: 公交线网规划是城市交通规划的重要组成部分之一。针对公交线网规划问题,提出一种多目标的公交线网规划模型,以最小化乘客总出行时间和总 换乘次数,最大化线网的需求密度为目标函数。利用禁忌搜索和模拟退火两种算法对模型进行求解,并利用Sioux-falls network对模型进行验证。结果 表明:与前人的研究相比,本模型的结果直达率提高,换乘次数减少,公交的服务水平和吸引力提高;本研究的两种算法相比,模拟退火所得结果直达率 更高,需求密度更大,并且此算法效率更高。说明本模型能够有效的适用于公交线网的规划。

关键词: 交通工程, 城市交通, 公交线网规划, 禁忌搜索, 模拟退火, 公交网络

CLC Number: