期刊文献+

用于热门路径查询的动态热度路网的构建方法 被引量:1

Constructing Time-Dependent Hotness Road Network for Hot Path Query
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摘要 基于位置的服务在蓬勃发展的同时,产生出大量的用户位置轨迹数据,同时基于轨迹数据的热门路径问题也越来越受到人们的重视。对于求解点到点热门路径的问题,一张带有动态热度信息的热度路网是非常必要的。首先,提出了一个高效的交叉口生成算法,用于构建静态的热度路网,并在此基础上提出一种新的时间段分割算法来使得路网中对应热度边动态化。采用希腊雅典的一部分卡车的GPS轨迹数据集,通过大量充分的实验,印证了算法的合理性和高效性。 With the booming development of LBS, a huge number of users’ location trajectory data are produced and hot path prob-lems based on trajectories are paid more and more attention. For the end-to-end hot path problem, a hotness road network with time-dependent hotness information is essential. In this paper, we first employ an efficient algorithm to generate intersections to con-struct a static hotness road network, then do time slot partition to make it time-dependent. The dataset is truck trajectories in Athens, Greece. Extensive experiments show that our algorithms outperform the baseline approaches in terms of both effectiveness and effi-ciency.
机构地区 复旦大学
出处 《微型电脑应用》 2014年第6期38-42,共5页 Microcomputer Applications
关键词 空间数据库 轨迹数据挖掘 热门路径 随时间动态变化 Spatial DataBase Trajectory Data Mining Hot Pathtime-Dependence
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参考文献13

  • 1Chen Z,Shen H T,Zhou X.Discovering popular routes from Trajectories[C]//Data Engineering(ICDE),2011 IEEE 27th International Conference on.IEEE,2011:900-911.
  • 2Wei L Y,Zheng Y,Peng W C.Constructing popular routes from uncertain trajectories[C]//Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining.ACM,2012:195-203.
  • 3Chen Y J,Yang KX,Hu H,et at.Finding Time-Dependent Hot Path from GPS Trajectories[C]//WAIM,2014,accepted paper.
  • 4Li X,Han J,Lee J G,et at.Traffic density-based discovery of hot routes in road networks[M]//Advances in Spatial and Temporal Databases.Springer Berlin Heidelberg,2007:441-459.
  • 5Sacharidis D,Patroumpas K,Terrovitis M,et al.On-line discovery of hot motion paths[C]//Proceedings of the 11 th international conference on Extending database technology:Advances in database technology.ACM,2008:392-403.
  • 6Guo D,Liu S,Jin H.A graph-based approach to vehicle trajectory analysis[J].Journal of Location Based Services,2010,4(3-4):183-199.
  • 7Li Q,Zeng Z,Zhang T,et at.Path-finding through flexible hierarchical road networks:An experiential approach using taxi trajectory data[J].International Journal of Applied Earth Observation and Geoinformation,2011,13(1):110-119.
  • 8Li Z,Ding B,Han J,et at.Mining periodic behaviors for moving objects[C]//Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining.ACM,2010:1099-1108.
  • 9Kalnis P,Mamoulis N,Bakiras S.On discovering moving clusters in spatio-temporal data[M]//Advances in spatial and temporal databases.Springer Berlin Heidelberg,2005:364-381.
  • 10Fosca Giannotti,Mirco Nanni,Fabio Pinelli,Dino Pedreschi.[C]Trajectory pattern mining.In KDD,pages 330-339,2007.

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