行车模式的公交站点识别方法A bus-stop identification method based on driving pattern
周艳,耿二辉,李妍羲,王伟生
摘要(Abstract):
针对公交车全球定位系统(GPS)数据的公交站点识别问题,该文基于公交车辆运行状态,将公交车辆的运行划分为终点站待命模式、正常行驶模式、站点停车上/下客模式,提出了一种基于这3种行车模式的公交站点识别方法,通过行车模式判定、轨迹方向分割和DBSCAN密度聚类,提取各个方向的公交站点。该文使用深圳市公交车GPS数据展开验证,实验结果表明,该方法能有效地、准确地识别公交站点。
关键词(KeyWords): 公交车GPS数据;行车模式;公交站点识别;DBSCAN
基金项目(Foundation): 国家自然科学基金项目(41471332,41101354);; 国家重点研发计划项目(2016YFB0502300);; 中央高校基本科研业务费专项资金资助项目(ZYGX2015J113)
作者(Author): 周艳,耿二辉,李妍羲,王伟生
DOI: 10.16251/j.cnki.1009-2307.2018.10.026
参考文献(References):
- [1]LONG Y,LIU X,ZHOU J,et al.Early birds,night owls,and tireless/recurring itinerants:an exploratory analysis of extreme transit behaviors in Beijing,China[J].Habitat International,2016,57:223-232.
- [2]MEDINA S A O,ERATH A.Estimating dynamic workplace capacities by means of public transport smart card data and household travel survey in Singapore[J].Transportation Research Record(Journal of the Transportation Research Board),2013(2344):20-30.
- [3]LONG Y,SHEN Z.Finding public transportation community structure based on large-scale smart card records in Beijing[M]∥Geospatial Analysis to Support Urban Planning in Beijing.Berlin:Springer International Publishing,2015:155-167.
- [4]ZHONG C,ARISONA S M,HUANG X F,et al.Detecting the dynamics of urban structure through spatial network analysis[J].International Journal of Geographical Information Science,2014,28(11):2178-2199.
- [5]龙瀛,孙立君,陶遂.基于公共交通智能卡数据的城市研究综述[J].城市规划,2015(3):70-77.(LONG Ying,SUN Lijun,TAO Sui.A review of urban studies based on transit smart card date[J].City Planning Review,2015(3):70-77.
- [6]PINELLI F,CALABRESE F,BOUILLET E P.Robust bus-stop identification and denoising methodology[C]∥The 16th International IEEE Conference on Intelligent Transportation Systems.Piscataway,New Jersey,USA:IEEE,2013:2298-2303.
- [7]BIAGIONI J,GERLICH T,MERRIFIELD T,et al.Easy tracker:automatic transit tracking,mapping,and arrival time prediction using smartphones[C]∥The 9th ACM Conference on Embedded Networked Sensor Systems.New York:ACM,2011:68-81.
- [8]STENNETH L,PHILIP S Y.Monitoring and mining GPS traces in transit space[EB/OL].(2013-05-02)[2017-01-14].https:∥www.researchgate.net/publication/237010954_Monitoring_and_Mining_GPS_traces_in_transit_space.
- [9]STEIGER E,ALBUQUERQUE J P,ZIPF A.An advanced systematic literature review on spatiotemporal analyses of Twitter data[J].Transactions in GIS,2015,19(6):809-834.
- [10]PINELLI F,CALABRESE F,BOUILLET E.A methodology for denoising and generating bus infrastructure data[J].IEEE Transactions on Intelligent Transportation Systems,2015,16(2):1042-1047.
- [11]ESTER M,KRIEGEL H P,SANDER J,et al.A density-based algorithm for discovering clusters in large spatial databases with noise[C]∥Proceedings of the Second International Conference on Knowledge Discovery and Data Mining.Menlo Park,California:AAAI Press,1996:226-231.