Vehicle real-time travel track acquisition method based on vehicle passing video data

Abstract

The invention relates to the technical field of intelligent traffic control, in particular to a vehicle real-time travel track acquisition method based on vehicle passing video data. The problems thatthe vehicle cannot obtain the travel track, the dynamic update of the vehicle travel chain cannot be realized and the consumption of system resources for calculating the travel chain is too large dueto the lack of GPS equipment can be solved to a certain extent. The method comprises the following steps: constructing an optimal adjacency matrix of a road network according to road network topologyinformation of a city; analyzing the vehicle passing video data from the detection point location to obtain vehicle driving information, wherein the vehicle driving information comprises a snapshot moment, a snapshot point location and a license plate number; and based on the optimal adjacency matrix, comparing and judging the vehicle driving information and a historical travel chain of the vehicle, and constructing a real-time travel track of the vehicle.

Description

technical field [0001] The present application relates to the technical field of intelligent traffic control, in particular, to a method for acquiring real-time travel trajectories of vehicles based on passing video data. Background technique [0002] The real-time travel trajectory of the vehicle is a big data product derived from the popularization and application of electronic police and bayonet equipment in the transportation system. When the vehicle passes through the detection equipment set up at the intersection of the city, its passing data can be recorded. Passing vehicle data contains rich spatio-temporal information. By analyzing the passing vehicle data, we can mine user travel patterns and study the characteristics of micro-traffic flow news business, which is conducive to improving the level of urban traffic planning and management, reducing urban road congestion, and improving traffic flow. system operating efficiency. [0003] In some implementations of obt...

AI Technical Summary

Problems solved by technology

[0005] This application provides a method for obtaining real-time travel trajectory of vehicles based on video data of passing vehicles. By constructing the optimal adjacency matrix of the urban road network, analyzing and processing the video data of passing vehicles, and comparing and judging vehicle driving information and historical travel chains, To a certain extent, it can solve the problem that the vehicle cannot obtain the travel trajectory due to the lack of GPS equipment, the dynamic update of the vehicle travel chain cannot be realized, and the calculation of the travel chain consumes too much system resources.

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