国防科技大学学报Issue(3)：129-134,6.DOI:10.11887/j.cn.201403023
依据历史轨迹构建城市出租车移动概率模型
The moving probability model of urban cabs based on history trajectory
摘要
Abstract
The model of urban cabs moving is one of the key issues for model building.The model needs reflecting moving state information of cabs.More importantly,users can quickly query the moving cabs.Under the condition of real time information of cabs which is hard to obtain,we should model the moving points and forecast the state information according to the moving history.A method which applies Hidden Markov theory to model of the moving trajectory is proposed.Through an analysis of real trajectory data of San Francisco,the caps moving model which is used to query the caps by users was constructed.Experiment with real datasets shows that the method proposed can simulate the moving state of caps.Users can also quickly obtain the useful location information from the model.关键词
城市计算/出租车移动模型/隐马尔科夫/移动模型Key words
urban computation/cabs’moving model/hidden-markov/moving model引用本文复制引用
马武彬,刘明星,黄宏斌,邓苏..依据历史轨迹构建城市出租车移动概率模型[J].国防科技大学学报,2014,(3):129-134,6.基金项目
国家高技术研究发展计划（863计划）资助项目 （）
