城市多模式公共交通网络优化及仿真
Optimization and Simulation of Urban Multi-Mode Public Transport Network
马洪生 1李雪芹 2许京鹏 3王文宪4
作者信息
- 1. 西南交通大学交通运输与物流学院,四川 成都 611756;深圳市综合交通与市政工程设计研究总院有限公司,广东 深圳 518003
- 2. 西南交通大学交通运输与物流学院,四川 成都 611756
- 3. 深圳市综合交通与市政工程设计研究总院有限公司,广东 深圳 518003
- 4. 五邑大学轨道交通学院,广东 江门 529020
- 折叠
摘要
城市公共交通网络优化对于提高城市出行效率,方便乘客出行具有重要意义.基于Space L建模方法构建城市多模式公共交通网络,定义了网络中节点和弧段阻抗计算方法.以多模式公共交通网络全局效率最大为目标,考虑常规公交线路设计规则为约束,构建了上述问题的数学规划模型.针对该问题的组合爆炸特点,采用了遗传退火算法进行求解.最后选取成都市锦江区所属的公共交通网络进行实例分析,结果表明,上述方法成功地降低公共交通网络节点间的出行阻抗、提升公共交通网络全局效率,而且可以在较短时间内求得满意解.
Abstract
The optimization of urban public transport networks is of great significance for improving urban travel efficiency and facilitating passenger travel.This article established an urban multi-mode public transport network based on the Space L modeling method,and defined the calculation method of node and arc impedance in the network.Considering the design rules of conventional bus routes as constraints,the mathematical programming model of the a-bove problems was constructed to maximize the overall efficiency of the multi-mode public transport network.Aiming at the combination explosion characteristic of the problem,the genetic-annealing algorithm was designed to solve it.Finally,the public transport network of Jinjiang District in Chengdu was selected for example analysis.The results show that the proposed method can effectively reduce the travel impedance between nodes of the public transport net-work and improve the overall efficiency of the public transport network.Moreover,a satisfactory solution could be ob-tained in a short time.
关键词
多模式公共交通/建模/弧段阻抗/全局效率/遗传退火算法Key words
Multi-mode public transport/Modeling/Arc impedance/Overall efficiency/Genetic-annealing algo-rithm引用本文复制引用
基金项目
&&(RD202115)
江门市科技计划项目(2021030101730004367)
长江上游航运物流协同创新中心项目(XTCX2022A02)
水运经济研究中心项目(SYJJ2021A02)
出版年
2024
NETL
NSTL
万方数据