摘要
针对"互联网+交通"时代格局下乘客合乘站点的合理布局问题,运用基于密度的孤立点检测方法,剔除预约请求的孤立点,并运用K-means聚类分析方法和范围覆盖公式确定定制公交站点的选址与布局.算例验证分析结果表明该方法对定制公交合乘站点的布局优化具有良好的适用性.
To the rational distribution of rideshare sites in the pattern of "Internet + Traffic",the cus‐tom layout and bus stops were determined while excluded outlier reservation requests with density‐based outlier detection method and K‐means clustering analysis and coverage formula .Cases validation of analyti‐cal results show that the method is applicable to optimize the layout of rideshare sites of customized shuttle bus .
出处
《徐州工程学院学报(自然科学版)》
CAS
2016年第1期27-32,共6页
Journal of Xuzhou Institute of Technology(Natural Sciences Edition)
基金
湖南省交通科技项目(201248
201440)