A vehicle travel analysis method based on bayonet license plate recognition data

Abstract

The invention discloses a vehicle travel analysis method based on bayonet license plate recognition data. Identify individual trips based on the preprocessed bayonet license plate data; first group the bayonet license plate recognition data based on the license plate number and sort them by time to generate a bayonet perception sequence; then identify a single trip based on the travel time threshold of the front and rear bayonet perception pairs For travel, the bayonet perception sequence of the vehicle is divided into several travel subsequences; based on the travel subsequence information of the vehicle, combined with the bayonet perception sequence, the individual travel information of the vehicle is extracted; based on the individual travel information of the vehicle, from the perspective of the individual vehicle object It can analyze the travel rules and commuting characteristics of vehicles, including the identification of vehicle occupation and residence; from the level of aggregate statistics, the OD matrix between each bayonet perception pair and the traffic flow of important road sections can be obtained; it can also be combined with license plate attributes to group vehicles. Statistical analysis of travel characteristics of different vehicle groups, including clustering and classification of non-local vehicle characteristics.

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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