A traffic flow partitioning model based on similar evolution mode clustering and dynamic time zone partitioning
A partition model and traffic flow technology, applied in the field of intelligent transportation, can solve the problem that dynamic random traffic flow is difficult to be accurately predicted.
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[0073] The present invention is implemented in 3 parts:
[0074] (1) Characteristic representation of traffic flow data: In order to simplify the calculation, the average value of the traffic flow data of all collection times of each road section is calculated in units of days, and the average time series of traffic flow is obtained, which represents the daily average evolution traffic of the road section within the statistical time. Patterns as Traffic Flow Data Features for Affinity Propagation Clustering Algorithm.
[0075] (2) Carry out similar evolution pattern clustering on traffic flow characteristic data: due to the physical direct or indirect connection between road sections in the road network, the traffic state of a certain road section will be affected by the traffic state of its surrounding road sections to a certain extent , which forms the spatial correlation between road segments and the co-evolution model of traffic flow. After the characteristic representati...
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