The invention provides a multi-source traffic state discrimination method based on stream-oriented computation and time window dynamic optimization. The method comprises the steps of 1) setting a unit time window (UTW), an adjustment time window (ATW) and a smooth time window (STW) for the dynamic optimization of the multi-source traffic state; 2) receiving the collection data of all traffic data collection equipment within a road segment in a rolling manner with the preset unit time window (UTW) as one unit, and sending the data set of the above unit time window as an input data stream to a stream-oriented computation system upon completing the data reception; 3) respectively sending the collected data to different processing modules according to different equipment types by means of the stream-oriented computation system; 4) respectively calculating the traffic state of each equipment type by each processing module, and uniformly sending the calculated traffic state results to a dynamic optimization module; 5) receiving the traffic state results by means of the dynamic optimization module, conducting the fusion calculation on the received multiple results and outputting a final traffic state result of the road segment. The method is effectively applicable to mass data in multi-source traffic data collection occasions.
Multi-source traffic state discrimination method based on stream-oriented computation and time window dynamic optimization
2015-11-18
Patent
Electronic Resource
English
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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