智能交通刷卡记录中的公交站点恢复方法

发布时间：2018-01-14 06:14

本文关键词：智能交通刷卡记录中的公交站点恢复方法　出处：《华东师范大学学报(自然科学版)》2017年05期 　论文类型：期刊论文

【摘要】：随着城市公共交通网络的快速发展以及智能交通卡的普及,智能交通卡中隐藏着越来越丰富的个人及群体移动行为信息.但当前很多城市智能公交卡主要用于收费功能,并未包含乘客确切的上下车时间及站点信息,这给分析挖掘交通卡刷卡数据、提供基于精确位置的服务带来了阻碍.本文针对上海市不含公交上下车站点的刷卡数据集,借助于确定的地铁站点刷卡信息,分析个人的整体刷卡历史记录,提出一个基础的基于时空邻近性的恢复算法(STA,Space-Time Adjacency algorithm)和一个改进的基于历史的恢复算法(HTB,Historical Trip Based algorithm).具体地,STA算法根据刷卡记录线路的时空邻近关系进行恢复,在此基础上,HTB算法将刷卡记录集合根据时间和空间属性进行切分,获得有明确出行意义的出行记录,再利用历史记录集合,提取乘坐线路以及频繁换乘线路,根据线路间的空间关系生成线路带权候选站点列表,再次进行站点恢复.实验证明本文算法可以较好地缩小线路的候选上下车站点范围,且时间效率较高.
[Abstract]:With the rapid development of urban public transport network and the popularity of intelligent transportation cards. There are more and more personal and group mobile behavior information hidden in the Intelligent Transportation Card. However, many urban smart bus cards are mainly used for charging functions, and do not contain the exact time and stop information of passengers. This makes it difficult to analyze and mine the data of traffic card swipe card and provide the service based on precise location. This paper aims at the data set of swipe card which does not include bus stop and alighting station in Shanghai with the help of certain information of subway station swiping card. Based on the analysis of individual's overall credit card history, a basic restoration algorithm based on temporal and spatial proximity (Spatio-temporal proximity) is proposed. Space-Time Adjacency algorithm and an improved history-based recovery algorithm. Historical Trip Based algorithm. The algorithm is based on the temporal and spatial proximity relationship of the recorded circuit with credit card, and on this basis. The HTB algorithm divides the credit card record set according to the time and space attributes to obtain the trip record with clear travel significance and then uses the history record set to extract the ride line and the frequent transfer line. According to the spatial relationship between lines, the list of weighted candidate stations is generated, and the site recovery is done again. The experiments show that the proposed algorithm can reduce the range of the candidate stations, and the time efficiency is high.
【作者单位】：华东师范大学数据科学与工程学院;
【基金】：国家重点研发计划重点专项(973)(2016YFB1000905) 国家自然科学基金(61370101,61532021,U1501252,U1401256,61402180)
【分类号】：U495
【正文快照】： 0引随着世界人口的增加和城市人口比例的不断提高,设计、维持和促进可持续的城市公共交通模式变得非常重要.近年来,有越来越多的城市提供更加丰富的公共交通出行方式,促使更多乘客选择公交、地铁出行.与此同时,城市智能交通卡也在广泛普及,便捷的付费方式以及优惠的付费政策正

【相似文献】