Urban commuting path identification method and equipment

Abstract

The invention relates to the field of intelligent transportation and provides an urban commuting path recognition method. The method comprises steps of obtaining OD points of vehicles; dividing a commuting travel generation area and a travel attraction area according to the OD point data, wherein n is a natural number; matching the OD points to form OD point pairs; and constructing and generatinga commuting path of the vehicle according to the path points and the frequency information of the vehicle. The method is advantaged in that the road traffic information is fully sampled, and the urbancommuting phenomenon and nature are reflected more accurately; on one hand, distribution and evolution features of urban morning and evening peak commuting traffic flows can be reflected, and a scientific basis is provided for accurately knowing urban traffic; on the other hand, a reference basis can be provided for parking lot planning, traffic zone division and path-level signal control, the traffic control level can be greatly improved, and the satisfaction degree and comfort degree of resident travel are improved.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method and equipment for identifying urban commuting routes. Background technique [0002] Commuting traffic occupies the vast majority of urban traffic, which has the characteristics of extremely large traffic flow in a short period of time, fixed travel routes, and mainly resident population. Frequent congestion, air pollution, traffic accidents and other problems caused by commuting traffic have become chronic problems in the city and need to be solved urgently. [0003] Commuting traffic reflects information such as the starting point, ending point, and driving path of most vehicles in the city. This information can provide a reference for parking lot planning, traffic area division, and path-level signal control. [0004] However, urban traffic managers still lack effective means and ways to understand commuter traffic. Generally, questionnaire surveys, GPS posit...

AI Technical Summary

Problems solved by technology

[0004] However, urban traffic managers still lack effective means and ways to understand commuter traffic. Generally, questionnaire surveys, GPS positioning data calculations, etc. are used to obtain commuter traffic starting point, end point, route and other information.

However, due to the small sample size of the questionnaire survey and the limited number of vehicles equipped with GPS positioning equipment, the commuter traffic information obtained by the above two methods is only part of the large-scale commuter traffic in the city and cannot fully and accurately reflect the large-scale commuter traffic in the city. transportation

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