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结合载客热点和POI的出租车停车位划定方法

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  • 万方数据
  • 维普
针对出租车随意停靠造成城市交通拥堵甚至交通事故的问题，利用成都实际区域的出租车GPS(Global Position System)数据和爬取的 POI(Point of Interest)数据，使用 DBSCAN(Density-Based Spatial Clustering of Application with Noise)聚类算法对上下客点进行聚类，得到出租车的载客热点，根据POI的类型划定载客热点区域的类型，对出租车不同时间的出行需求进行分析，进而划分出出租车的固定停车区域。研究结果表明，出租车固定停车区域的设定与出行者的出行需求有关，即将固定停车区域设置在出行者出行需求多的区域，可以满足出行者的不同出行需求。结合出租车载客热点和爬取POI数据划定固定停车区域的方法具有较高的实用性，可为城市交通安全方面提供理论和现实意义。
Cab Fixed Parking Area Delineation Method Combining Passenger Hotspot and POI Data
In view of the problem of urban traffic congestion and traffic accidents caused by cabs stopping at will,it is very necessary to reasonably delineate the fixed parking areas for cabs.Using the cab GPS(Global Position System)data and crawled POI(Point of Interest)data in the actual area of Chengdu,DBSCAN(Density-Based Spatial Clustering of Application with Noise)clustering algorithm is used to cluster the pick-up and drop-off points to get the hotspots of cabs,the types of hotspots are delineated according to the types of POIs,and the travel demand of cabs at different times is analyzed,so as to delineate the fixed parking area of cabs.The results of the study show that the setting of the fixed parking area of cabs is related to the travel demand of travelers,so that the fixed parking area is set in the area where the travel demand of travelers is high,which can satisfy the different travel demands of travelers.The method of combining cab passenger hotspots and crawling POI data to delineate fixed parking areas is highly practical and can provide theoretical and practical significance in urban transportation safety.

pick-up and drop-off pointsdensity-based spatial clustering of application with noise(DBSCAN)clustering algorithmpassenger-carrying hotspot areaspoint of interest(POI)data analysisfixed parking areas

邢雪、王菲、李佳楠

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吉林化工学院信息与控制工程学院,吉林吉林 132022

上下客点 DBSCAN聚类算法 载客热点区域 POI数据分析 固定停车区域

吉林省科技发展计划基金资助项目

20210101416JC

2024

吉林大学学报(信息科学版)
吉林大学

吉林大学学报(信息科学版)

CSTPCD
影响因子：0.607
ISSN：1671-5896
年,卷(期)：2024.42(1)
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