Day-dimension regional traffic index prediction method considering influences of multiple factors
A technology of traffic index and forecasting method, which is applied in the direction of traffic flow detection, forecasting, and data processing applications, etc., which can solve the problem of few forecasting applications, inability to serve industry managers with a forward-looking overall grasp of road network operation conditions, and insufficient consideration of traffic flow operation Various factors of the state and other issues
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[0088] The present invention selects Beijing Guomao regional traffic index as the prediction object, uses the medium and long-term regional traffic index prediction method based on decision tree theory to predict the traffic index of this region on April 17-23, 2017, and calculates the morning and evening peak index Perform model accuracy verification.
[0089] The specific implementation steps are as follows:
[0090] Step 1, divide key areas of concern;
[0091] Comprehensively considering factors such as the nature of land use, administrative divisions, natural landforms, and road network structure, Beijing is divided into 1911 traffic districts without breaking administrative divisions and using natural partitions such as rivers and railways as the boundaries of traffic districts . Considering the large difference in traffic demand between the inner and outer ring areas of the city, the fineness of the division of traffic districts is also different. Therefore, the area ...
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