Traffic control subregion clustering and dividing method based on multi-source data fusion and SNMF
A traffic control, multi-source data technology, applied in the direction of road vehicle traffic control system, traffic control system, traffic flow detection, etc., can solve the problem of large collection errors, division results that do not meet actual needs, and inability to accurately and comprehensively characterize traffic flow situation, etc.
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[0033] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.
[0034] The traffic control sub-area clustering method based on multi-source data fusion and SNMF of the present invention, the specific implementation steps are as follows:
[0035] (1) Obtain the characteristic parameter data of driving speed through vehicle GPS (Global Positioning System), or mobile phone GPS, or Beidou system, or third-party companies (such as AutoNavi, Baidu), etc. The video camera at the entrance obtains the traffic characteristic parameter data of the lane. The driving speed refers to the average speed of the vehicles passing through a certain road section per unit time, the unit is km / h, and the lane flow refers to the number of vehicles passing the stop line of an entrance lane per unit time, the unit is pcu / h (pcu , passenger car unit, standard passenger car unit, that is, the number of standard car equivalents). Ca...
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