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机构地区:[1]浙江工业大学智能交通联合研究所,浙江杭州310014 [2]浙江工业大学特种装备制造与先进加工技术教育部重点实验室,浙江杭州310014
出 处:《浙江工业大学学报》2018年第2期199-203,共5页Journal of Zhejiang University of Technology
基 金:浙江省自然科学基金资助项目(LY17F030017);杭州市社会发展科研自主申报项目(20160533B98)
摘 要:为了解决公交客流动态采集困难的问题,提出了一种基于手机MAC地址扫描获取公交客流信息的方法.建立了多源数据融合的公交客流分析模型,即根据采集的GPS数据计算得到公交车的到站时刻和离站时刻,然后基于数据扫描半径,确定各个站点的扫描时段以及站点间的扫描时段,进而获取该站点的公交客流量.最后,选取了杭州公交3号线路作为实验对象,对理论客流分析结果与实际客流进行分析比较,平均精度达到了84.20%.结果表明:该方法能够较有效地采集公交客流信息,为公交运营的排班规划、时刻表制定等提供决策参考.In order to solve the problem of difficulty in bus passenger flow dynamic acquisition, amethod of obtaining public passenger flow information based on mobile MAC scanning isproposed. A bus passenger flow analysis model based on multi-source data fusion is established. According to collected GPS data the arrival time and departure time of the bus is obtained, then a station scanning period and inter-site scanning period are determined to obtain the bus passenger traffic based on data scanning radius. Finally, the Hangzhou Bus Line 3 is chosen as theexperimental object, and the passenger flow results of the theoretical analysis and the actual measurement are analyzed and compared, the average precision is 84. 20%. The results showed that this method is effective in collecting bus passenger information, and can provide guidance for scheduling planning and timetable of bus operation.
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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