摘要
为改进传统中小城市公交线网优化中数据调查精度低、周期长、成本高以及方法针对性不足的缺点。基于手机信令数据获取交通OD,针对中小城市的特点来对其公交线网进行优化研究。首先根据手机信令数据的获取原理,基于聚类分析提出交通小区的划分方式,设计出行量获取方法得出居民公交出行OD以进行公交需求预测。根据中小城市的实际情况,以“路线优选”作为方法,选取以公交出行耗时最短和运营成本最低为目标的函数,建立优化模型。最后对宿迁市的数据进行实例分析并进行线网优化和评价。
In order to improve the shortcomings of the traditional small and medium-sized city bus network optimization,such as the data survey accuracy is low,the cycle is long,the cost is high,and the method is insufficient.Obtain residents'travel OD based on mobile phone signaling data,and optimize the bus network according to the characteristics of small and medium cities.First,according to the acquisition principle of mobile phone signaling data,proposing a method of dividing traffic districts based on cluster analysis.Design the trip volume acquisition method to obtain the traffic OD for public transportation demand forecast.Second,according to the actual situation of small and medium cities,taking“route optimization”as the method,selecting the function that takes the shortest bus travel time and the lowest operating cost as the objective to establish the optimization model.Finally,the data of Suqian city is analyzed by an example,and the network optimization and evaluation are carried out.
作者
费瑞阳
邬岚
栾开元
简玉成
FEI Ruiyang;WU Lan;LUAN Kaiyuan;JIAN Yucheng(College of Automobile and Traffic Engineering,Nanjing Forestry University,Nanjing 210037,China)
出处
《物流科技》
2021年第3期75-81,共7页
Logistics Sci-Tech
基金
国家自然科学基金项目(51408314)。
关键词
中小城市
公交线网
信令数据
优化方法
small and medium cities
public transportation network
signaling data
optimization method