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作 者:蒋相华 JIANG Xianghua(Tongji Architectural Design(Group)Co.,Ltd,Shanghai 200092,China)
机构地区:[1]同济大学建筑设计研究院(集团)有限公司,上海200092
出 处:《交通与运输》2024年第2期14-18,共5页Traffic & Transportation
摘 要:针对传统道路货运调查抽样率较低、调查成本较高、时效性较差,难以反映货运枢纽集散过程连续性和关联性特征的问题,基于货运交通流自有的时间序列特性,提出12t及以上货车GPS与道路匹配的方法和运用手机信数据令识别货车司机的方法,并给出数据模型结构和算法关键步骤。结论表明,用2种数据分析方法得到货运枢纽交通来源去向分布、集散路径及车速特征,与上海市交通运行年报反映的道路货运发展现状相符,通过手机信令数据识别出的货车司机人数与实际数量相当,所提出的货车集散路径算法具有准确性和实用性,为摸清货运枢纽道路交通空间利用状况,提高货运系统规划及运营管理水平提供技术支撑。In view of the problems of low sampling rate,high investigation cost and poor timeliness of traditional road freight transportation survey,which is difficult to reflect the continuity and correlation characteristics of the process of freight transportation,based on the time series characteristics of freight traffic flow,this paper proposed the method of GPS matching with road for trucks with 12t and above and the method of using mobile phone signaling data to identify truck drivers.And the structure of the data model and the key steps of the algorithm are given.The results showed that the traffic source distribution,route distribution and vehicle speed characteristics of the freight hub are obtained by the two data analysis methods,which are consistent with the development status of road freight reported in Shanghai traffic operation annual report.The number of truck drivers identified by mobile signaling data is equal to the actual number,and the proposed truck routing algorithm is accurate and practical.It can provide technical support for finding out the utilization of road traffic space in freight hub and improving the level of freight system planning and operation management.
分 类 号:U491[交通运输工程—交通运输规划与管理]
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