The invention discloses a method for detecting an urban traffic congestion state by using a density-based clustering algorithm. The method comprises the following steps of: preprocessing original vehicle GPS data in order to obtain noise-free or low-error data; using limited quantity and average speed as a threshold calculating congestion point in order to obtain a candidate congestion point GPS data; performing DENCLUE clustering on the candidate congestion point GPS data in order to obtain congestion area information; and using congestion area information as urban traffic congestion state information and saving the urban traffic congestion state information in a database. The method may effectively find out a traffic congestion area, grades the urban traffic states, and provides suggestions for urban planning.
Method for detecting urban traffic congestion state by using density-based clustering algorithm
2016-01-20
Patent
Electronic Resource
English
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