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Recognition of Operating Characteristics of Heavy Trucks Based on the Identification of GPS Trajectory Stay Points
Security and Communication Networks ( IF 1.968 ) Pub Date : 2021-06-12 , DOI: 10.1155/2021/9998405
Long Wei 1, 2 , Gang Chen 1 , Wenjie Sun 1 , Guoqi Li 1
Affiliation  

As an emerging data source, feature identification based on GPS trajectory data has become a hot issue in the field of data mining and freight management. A method of trajectory data extraction, classification, and visualization based on stay points was proposed in this paper to analyze the operation characteristics of heavy trucks from the perspectives of intracity transportation, intraprovincial transportation, and interprovincial transportation. The GPS trajectory data of heavy trucks in Sichuan Province in March 2019 were taken as an example to analyze the operation characteristics. The results show that the heavy trucks in Sichuan Province are mainly transported within the province, and the freight efficiency is slightly better than the average level of the national freight trucks in the same period, failing to give full play to the advantages of long transport distance. The manufacturing industry is the main service object of heavy trucks, and the vehicles engaged in transportation within the province are more dependent on logistics enterprises and their ancillary facilities. The north-south longitudinal line and east-west horizontal line are the main interprovincial transport channels, and the provincial and municipal transport is mainly concentrated in some urban trunk lines, ring lines, and express routes. The proposed technical method can describe the operating characteristics of freight trucks from the perspective of microscopic and service market, not only to guide the layout of highway freight yards, logistics parks, and logistics hubs and the determination of service functions but also to provide a reference basis for freight management-related departments and drivers to formulate transportation plans and establish freight information platforms to improve freight efficiency and safety.

中文翻译:

基于GPS轨迹停留点识别的重型卡车运行特性识别

作为一种新兴的数据源,基于GPS轨迹数据的特征识别已成为数据挖掘和货运管理领域的热点问题。提出一种基于停留点的轨迹数据提取、分类和可视化方法,从城内运输、省内运输、跨省运输的角度分析重卡的运行特点。以2019年3月四川省重卡GPS轨迹数据为例,分析其运行特征。结果表明,四川省重卡以省内运输为主,货运效率略高于同期全国货车平均水平,未能充分发挥运输距离长的优势。制造业是重卡的主要服务对象,省内从事运输的车辆更多地依赖于物流企业及其配套设施。南北纵线和东西横线是主要的省际交通通道,省市交通主要集中在部分城市干线、环线和快线。所提出的技术方法可以从微观和服务市场的角度描述货车的运行特征,不仅可以指导公路货场、物流园区的布局,
更新日期:2021-06-13
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