基于GPS轨迹数据的电动出租车充电站选址规划
Location Planning of Electric Taxi Charging Station Based on GPS Trajectory Data
任丹萍 1王茜茜 1陈湘国 1邓玉静1
作者信息
- 1. 河北工程大学 信息与电气工程学院,河北 邯郸 056038;河北工程大学 河北省安防信息感知与处理重点实验室,河北 邯郸 056038
- 折叠
摘要
针对电动汽车保有量持续增长、充电设施匮乏难以满足用户需求的问题,提出一种基于GPS轨迹数据的电动出租车充电站选址规划方案.首先利用出租车GPS数据分析用户潜在充电需求并提取需求分布;其次提出一种基于网格密度分区的DBSCAN聚类方法,与传统算法相比DB指数由0.34 降为0.30,对需求进行聚类和划分需求密集区,设置预选站址;最后,构建集合覆盖模型实现站址优化.利用此方案对北京大兴区出租车轨迹数据进行仿真,得出了合理的选址结果,即该方案可为电动出租车充电站规划提供参考.
Abstract
A location planning scheme for electric taxi charging stations based on GPS trajectory data is proposed to address the problem of continuous growth in the number of electric vehicles and insufficient charging facilities to meet user needs.Firstly,the potential charging needs of users are analyzed using the taxi GPS data and demand distribution is extracted.Secondly,a DBSCAN clustering method based on the grid density partitioning is proposed,which reduces the DB index from 0.34 to 0.30 compared to traditional algorithms.The demand is clustered and divided into demand intensive areas,and pre-se-lected station locations are set.Finally,a set coverage model is developed to achieve site optimization.Using this scheme to simulate Daxing District,Beijing and taxi trajectory data,a reasonable site selec-tion result is obtained,and the results can provide reference for the planning of electric taxi charging stations.
关键词
充电站选址/电动出租车/GPS轨迹数据/密度聚类Key words
charging station location/electric taxi/GPS trajectory data/density clustering引用本文复制引用
基金项目
河北省自然科学基金资助项目(F2022402007)
出版年
2024
NETL
NSTL
万方数据