Vehicle trajectory reconstruction method and system and electronic device

Abstract

The present application relates to a vehicle trajectory reconstruction method and system and an electronic device. The method comprises the following steps: step a, collecting road network data, and constructing a road network topology diagram according to the road network data; step b, setting starting and end points of the trajectory range, and selecting the monitoring points of the video monitor devices within the trajectory range according to the road network topology diagram; step c: performing vehicle data retrieval according to the video monitoring device monitoring points within the trajectory range, and performing trajectory reconstruction according to the vehicle data retrieval result. In a network of a large number of video surveillance devices that have been deployed, accordingto the road network data and point of interest data, an adaptive algorithm for selecting monitoring points is established by using network community discovery, shortest path algorithm and other algorithms, and data search is carried out on the basis of selecting monitoring points, which avoids time-consuming analysis and processing of redundant video monitoring devices data and improves the efficiency of vehicle trajectory reconstruction.

Description

Technical field [0001] This application belongs to the technical field of vehicle trajectory analysis, and particularly relates to a vehicle trajectory reconstruction method, system and electronic equipment. Background technique [0002] One of the important techniques for vehicle trajectory analysis based on video surveillance is vehicle trajectory reconstruction. In video surveillance, high-definition video equipment (video surveillance camera) is used to collect the picture information of vehicles passing through each road section, and the license plate number recognition algorithm is used to extract the license plate number information in the picture information. Then use the integrated communication module to send the license plate number information to the server, store it in the database in the form of a relational data table, and then sort out the data to restore the driving track of the vehicle. The license plate number information uploaded to the server through this pr...

AI Technical Summary

Problems solved by technology

[0006] (1) According to different application purposes, different monitoring schemes are adopted in the deployment stage, which cannot guarantee the follow-up trajectory integrity data analysis

The layout plan is designed for the purpose of estimating traffic parameters such as travel time and OD dynamic estimation. The optimization goal is to cover as many road sections as possible. For trajectory tracking applications, this method is likely to cause some road sections to be missed, and eventually the driving trajectory cannot be completely restored.

[0007] (2) The efficiency of searching for the target vehicle records passing through each point according to the time series process is low

In this process, the method of searching and comparing monitoring point data one by one is inefficient

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