发明授权
US07542844B2 Dynamic prediction of traffic congestion by tracing feature-space trajectory of sparse floating-car data
有权
通过追踪稀疏浮动车辆数据的特征空间轨迹来动态预测交通拥堵
- 专利标题: Dynamic prediction of traffic congestion by tracing feature-space trajectory of sparse floating-car data
- 专利标题(中): 通过追踪稀疏浮动车辆数据的特征空间轨迹来动态预测交通拥堵
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申请号: US12193565申请日: 2008-08-18
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公开(公告)号: US07542844B2公开(公告)日: 2009-06-02
- 发明人: Masatoshi Kumagai , Tomoaki Hiruta , Mariko Okude , Koichiro Tanikoshi
- 申请人: Masatoshi Kumagai , Tomoaki Hiruta , Mariko Okude , Koichiro Tanikoshi
- 申请人地址: JP Tokyo
- 专利权人: Hitachi, Ltd.
- 当前专利权人: Hitachi, Ltd.
- 当前专利权人地址: JP Tokyo
- 代理机构: Crowell & Moring LLP
- 优先权: JP2007-234863 20070911
- 主分类号: G08G1/00
- IPC分类号: G08G1/00
摘要:
A traffic situation is predicted based on the correlation in the traffic situation between road sections. A base vector generation unit generates the base vectors constituting a feature space representing the correlation between a plurality of links by making a principal component analysis for the necessary time in the past recorded in a necessary time database. A projection point trajectory generation unit records a projection point trajectory of projecting the necessary time in the past recorded in the necessary time database to the feature space in a projection point database. A feature space projection unit projects the necessary time at present to the feature space, and a neighboring projection point retrieval unit retrieves a past projection point in the neighborhood of the concerned projection point from the projection point database, and a projection point trajectory trace unit traces the trajectory of past projection points starting from the retrieved neighboring projection point for a prediction target time width, and an inverse projection unit inversely projects the end point of the concerned trajectory to calculate the predicted value of the necessary time.
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