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基于特征选择的公交专用道设置方法
引用本文:范馨月.基于特征选择的公交专用道设置方法[J].科学技术与工程,2020,20(29):12172-12178.
作者姓名:范馨月
作者单位:贵州大学数学与统计学院,贵阳550025
基金项目:国家自然科学基金项目(11961008);贵州省科学技术基金(201942920301110098);贵州省科技计划项目(黔科合平台人才[2020]5016)
摘    要:本文研究城市公交专用道的设置方法,以贵州省贵阳市城市道路为实验城市,融合了电警、卡口过车数据、公交车GPS数据、公交车线路数据、公交车站点分布数据、道路基础信息数据和电警、卡口地理信息数据。构建视频检测设备的网络拓扑结构,分析公交车和社会车辆速度的关系特征构建特征选择模型,判断出城市哪些路段需要设置公交专用道。然后设计模型优化算法进一步判断各路段适不适合设置公交专用道以及怎样设置的方法,最终研究出一套能够基于数据自动计算城市公交专用道设置方案的方法。

关 键 词:公交专用道  行程时间  相似度  K-means聚类
收稿时间:2020/2/25 0:00:00
修稿时间:2020/6/23 0:00:00

Method of setting bus lane based on feature selection
FAN Xin-Yue.Method of setting bus lane based on feature selection[J].Science Technology and Engineering,2020,20(29):12172-12178.
Authors:FAN Xin-Yue
Institution:1. Guizhou University,School of Mathematics and Statistics,Guizhou Guiyang,550025
Abstract:This paper studies the setting method of urban bus lane, and takes Guiyang City as the experimental city, which integrates the data of electric police, checkpoint passing, bus GPS, bus line, bus station distribution, road basic information, electric police and checkpoint geographic information. Build the network topology of video detection equipment, analyze the relationship between bus and social vehicle speed, build a feature selection model, and determine which sections of the city need to set up bus lanes. Then the model optimization algorithm is designed to further determine whether each road section is suitable for setting bus lanes and how to set them. Finally, a set of methods that can automatically calculate the setting scheme of urban bus lanes based on data is developed.
Keywords:Bus lane  travel time  similarity  K-means clustering
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