Traffic information prediction system

Details Traffic information prediction system Traffic information prediction system

2005-08-19

2009-08-18

Jeanglaud, Gertrude Arthur (Department: 3661)

Data processing: vehicles, navigation, and relative location

Vehicle control, guidance, operation, or indication

Traffic analysis or control of surface vehicle

C701S118000, C340S906000, C340S995130

Reexamination Certificate

active

07577513

ABSTRACT:
In a congestion prediction using measurement data which is acquired by an on-road sensor or a probe car, and which includes none of explicit information about bottleneck points, with respect to time-sequence data on congestion ranges accumulated in the past, data on congestion front-end positions are summarized into plural clusters by the clustering. Representative value in each cluster is assumed as position of each bottleneck. A regression analysis, in which day factors are defined as independent variables, is performed with congestion length from each bottleneck point selected as the target. Here, the day factors refer to factors such as day of the week, national holiday/etc. It then becomes possible to precisely predict a future congestion length.

REFERENCES:
patent: 6522970 (2003-02-01), Kerner
patent: 6813555 (2004-11-01), Kerner
patent: 2002-222484 (2002-08-01), None
patent: 2005-004668 (2005-01-01), None
Kumagai et al., “Traffic Information Prediction Method Based on Feature Space Projection”, IPSJ SIG Technical Report, No. 14, pp. 51-57, Sep. 9, 2003.

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