基于卡口数据的车辆出行轨迹重构方法研究
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- 英文论文题名：Vehicle Travel Trajectory Reconstruction Based on Monitoring Data
- 论文作者：杨帅 ; 于海洋
- 英文论文作者：Yang Shuai ; Yu Haiyang ; School of Transportation Science and Engineering ; Beihang University ; Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control ; Key Laboratory of Urban ITS Technology Optimization and Integration Ministry of Public Security ; People's Republic of China
- 年：2016
- 作者机构：北京航空航天大学交通科学与工程学院车路协同与安全控制北京市重点实验室;城市交通管理集成与优化技术公安部重点实验室;
- 论文关键词：卡口数据 ; 车辆出行 ; 轨迹重构
- 英文论文关键词：Vehicle Identify Data ; Vehicle Travel ; Trajectory Reconstruction
- 会议召开时间：2016-11-16
- 会议录名称：第十一届中国智能交通年会大会论文集
- 语种：中文
- 分类号：U491
- 学会代码：ZJTX
- 会议名称：第十一届中国智能交通年会
- 会议地点：中国重庆
- 主办单位：中国智能交通协会
- 学会名称：中国智能交通协会
- 页数：8
- 文件大小：1210k
- 原文格式：D
- 会议级别：全国
摘要
目前使用感知数据进行车辆出行信息挖掘成为热门。本文基于卡口数据,精细化分析车辆出行行为,使用行程时间阈值辨识车辆单次出行。此外基于卡口数据针对出行车辆的旅行轨迹不完整现象,建立了一种OWA算子和TOPSIS算法相结合的轨迹重构模型,并在模型中引入与卡口数据相结合的速度指标,以增加模型的实用性,最终通过实际案例验证模型的可靠性,研究出卡口数据中构建车辆个体完整信息思路及方法,为车辆出行行为的进一步分析奠定了的基础。
Currently using perception data to excavate vehicle travel informationbecome a hot.This paper usedtravel time threshold to identify a single vehicle traveland analyzes vehicle travel behavior based on the vehicle identify data.Besides we built a trajectory reconstruction model combining OWA and TOPSIS algorithm in view of the vehicles' incomplete trajectories phenomenon,and in order to increase the practicability of model we introduced the speed indicator combined with the monitoring datain the model,finally through the test the reliability of the model has been verifiedsignificantly,we researched a thought and method of structuring vehicle individual's complete information,which would lay the foundation for further analysis of vehicle travel behavior.
Currently using perception data to excavate vehicle travel informationbecome a hot.This paper usedtravel time threshold to identify a single vehicle traveland analyzes vehicle travel behavior based on the vehicle identify data.Besides we built a trajectory reconstruction model combining OWA and TOPSIS algorithm in view of the vehicles' incomplete trajectories phenomenon,and in order to increase the practicability of model we introduced the speed indicator combined with the monitoring datain the model,finally through the test the reliability of the model has been verifiedsignificantly,we researched a thought and method of structuring vehicle individual's complete information,which would lay the foundation for further analysis of vehicle travel behavior.
引文
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[9]Isaacman,S.,Becker,R.,C'aceres R..Identifying Important Places in People's Lives from Cellular Network Data[J].Proceedings of9th International Conference on Pervasive Computing(Pervasive),2011.
[10]Liao,L.,Fox,D.,Kautz,H..Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields[J].International Journal of Robotics Research,2007,26(1):119-134.
[11]王龙飞.给予车牌照的车辆出行轨迹分析方法与实践研究[D].长安:长安大学博士论文,2011.
[2]郭旦怀,崔伟宏.面向实时交通信息提取的车辆轨迹数据挖掘[J].武汉大学学报,2010,34(1):6-9.
[3]孙玉砚,孙利民,朱红松.基于车牌照识别系统车辆轨迹的行为异常检测[J].计算机研究与发展,2015,52(8):1291-1929.
[4]刘卫宁,曾婵娟,孙棣华.基于DBSCAN算法的营运车辆超速点聚类分析[J].计算机工程,2009,35(5):268-270.
[5]马云飞.基于出租车轨迹点的居民出行热点区域与时空特征研究[D].南京:南京大学硕士论文,2014.
[6]吴俊伟,朱云龙,库涛.基于网格聚类的热点路径探测[J].吉林大学学报,2015,45(1):274-282.
[7]夏英,温海平,张旭.基于轨迹聚类的热点路径分析方法[J].重庆邮电大学学报,2011,23(5):602-606.
[8]郭婕,陈学武.公交IC卡乘客上车站点确定方法及其应用[J].系统工程,2004(11):4-11.
[9]Isaacman,S.,Becker,R.,C'aceres R..Identifying Important Places in People's Lives from Cellular Network Data[J].Proceedings of9th International Conference on Pervasive Computing(Pervasive),2011.
[10]Liao,L.,Fox,D.,Kautz,H..Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields[J].International Journal of Robotics Research,2007,26(1):119-134.
[11]王龙飞.给予车牌照的车辆出行轨迹分析方法与实践研究[D].长安:长安大学博士论文,2011.