Vehicle traveling analysis method based on gate plate recognition data

Abstract

The invention discloses a vehicle traveling analysis method based on gate plate recognition data. The method comprises the steps that individual traveling is recognized based on preprocessed gate plate data; group dividing is conducted on gate plate recognition data based on plate numbers, sorting is conducted according to time, and a gate sensing sequence is generated; a single traveling is recognized according to traveling time threshold values sensed by front and rear gates, and the gate sensing sequence of the vehicle is segmented into a plurality of sub traveling sequences; based on traveling sub sequence information of the vehicle, individual traveling information of the vehicle is extracted combining with the gate sensing sequence. According to the method, traveling regularities andcommuting characteristics of the vehicles can be analyzed from the perspective of an individual vehicle object based on vehicle individual traveling information, and vehicle and residential place recognition is included; an OD matrix between each gate sensing pair and traffic flow of a significant road section can be obtained from the level of aggregation counting; group dividing can be conductedon the vehicles by combining with plate attributes to conduct counting analysis on traveling characteristics of different vehicle groups, and characteristic aggregation sorting of non-local vehiclesis included.

Description

technical field [0001] The invention relates to the field of urban road traffic, and more specifically, to a vehicle travel analysis method based on bayonet license plate recognition data. Background technique [0002] Vehicle travel is the basic unit of urban road traffic. The travel behavior of vehicles implies a wealth of traffic travel and status information, including complete travel routes, travel time, driving sections, traveler route selection behavior and other information. Therefore, vehicle travel information can be regarded as a dynamic storage of road network traffic operation. Through in-depth analysis of the travel information of all vehicles in the road network, rich traffic operation status information can be obtained. In recent years, with the continuous improvement of the intelligence level of the urban traffic management system, various video surveillance and electronic camera equipment have been widely deployed and applied. Through the automatic license ...

AI Technical Summary

Problems solved by technology

However, due to the unreasonable setting of the length of research time, there will be situations where one trip is divided into multiple trips

On the other hand, because people cannot use mobile phones all the time, mobile phone data cannot describe their travel characteristics well

3) "Zhang Zhihua. Research on Travel Information Extraction Based on GPS Trajectory [D]. Doctoral Dissertation of East China Normal University, 2010." Quality travel information, focusing on the object-oriented trajectory data segmentation method design, travel endpoint extraction method, travel mode discrimination and travel purpose inference technology, but the application theory of trajectory data has not been studied in depth in the research, and the sample size is relatively small. Small, the accuracy of the research results needs to be improved

However, this research mainly focuses on the reconstruction method of vehicle travel trajectories, and has less involvement in the analysis methods of vehicle travel.

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