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作 者:孙凯 郑长江[1] SUN Kai;ZHENG Changjiang(College of Civil Engineering and Transportation Engineering,Hohai University,Nanjing 210098,China)
机构地区:[1]河海大学土木与交通学院,江苏南京210098
出 处:《贵州大学学报(自然科学版)》2021年第2期104-110,124,共8页Journal of Guizhou University:Natural Sciences
基 金:江苏省自然科学基金资助项目(BK20170879);中央高校基础研究基金资助项目(2019B13514)。
摘 要:公交客流数据是公交组织调度、线网优化和场站规划的基础性数据,随着计算机信息技术的发展,通过对公交刷卡数据进行分析处理即可得到全面准确的公交客流信息。以桂林市公交系统数据为例,首先,对公交IC卡刷卡数据和定位数据结构进行分析并对刷卡数据进行预处理,筛选出客流推算所需数据并剔除异常数据;其次,融合刷卡数据与定位数据匹配乘客上车站点;再次,根据站点吸引强度和乘客出行站数规律计算各站点下车概率,推算站点下车人数和线路OD(origin-destination)矩阵,其中吸引强度结合了站点上车人数和站点周边土地利用规划;最后,对计算结果与实际调查值的各项误差指标进行分析,表明研究结果的合理与准确性。Bus passenger flow data is the basic data of bus organization and scheduling,line network optimization and station planning.With the development of information technology,comprehensive and accurate bus passenger flow data can be obtained by analyzing and processing bus card data.Taking the bus system data of Guilin as an example,the card data and bus positioning data structure is analyzed firstly.The IC card data is preprocessed to screen out the data needed for passenger flow calculation and the abnormal data is eliminated.Secondly,the card data and positioning data are combined to match the passenger boarding station.Then,the probability of alighting at each station is calculated according to the law of station attraction intensity and passenger travel station number,and the number of people alighting at each station and the line OD matrix are calculated.The attraction intensity is combined with the number of people boarding at the station and the use planning of land around the station.Finally,the error indexes of the calculated results and the actual survey values are analyzed,which shows that the research results are reasonable and accurate.
分 类 号:U491.1[交通运输工程—交通运输规划与管理] C811[交通运输工程—道路与铁道工程]
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