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Vehicle trajectory generation method and apparatuses, and vehicle trajectory aggregation method and apparatuses

A vehicle trajectory and aggregation device technology, which is applied in the traffic control system of road vehicles, special data processing applications, traffic flow detection, etc., can solve the problems of lack of active analysis data and insufficient data value mining

Active Publication Date: 2016-01-06
ZHEJIANG UNIVIEW TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] At present, the use mode of the checkpoint crossing record data is mainly to meet the query and inquiry of users such as traffic control and public security after the fact, lacking a mechanism for actively analyzing data, and insufficient mining of data value

Method used

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  • Vehicle trajectory generation method and apparatuses, and vehicle trajectory aggregation method and apparatuses
  • Vehicle trajectory generation method and apparatuses, and vehicle trajectory aggregation method and apparatuses
  • Vehicle trajectory generation method and apparatuses, and vehicle trajectory aggregation method and apparatuses

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Embodiment Construction

[0026] In the field of intelligent transportation, for cities where checkpoint deployment reaches a certain density (for example, vehicles must pass through a checkpoint within 10 minutes during normal driving), based on the long-term checkpoint process of each vehicle in the city, Vehicle records, after statistical analysis, form the vehicle's driving track law. Through the vehicle trajectory model, the spatiotemporal activity and main trajectory of each vehicle can be obtained, so that the owner's residence, occupational characteristics, and outing activity can be further analyzed, and finally used for the research and judgment of suspicious and high-risk vehicles. For example, a normal private car should have obvious characteristics from the perspective of long-term driving trajectory. For private cars that commute to and from get off work normally, the driving trajectory between the place of residence and the workplace is relatively fixed in the morning and afternoon of wo...

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Abstract

The invention provides a vehicle trajectory generation method, including steps of 1, querying through-pass records of vehicles in a database in a period from beginning time to ending time, and ordering records according to the chronological order; 2, calculating a time difference between a current vehicle-through record and a next vehicle-through record, and querying an average vehicle-through time between two passes of the current vehicle-through record and the next vehicle-through record; 3, determining whether a vehicle stops moving between the two passes according to the time difference, the average vehicle-through time and a preset vehicle stopping time, if so, carrying out a step 4, and if not, carrying out a step 5; 4, taking a pass corresponding to the current vehicle-pass record as a tail pass of a vehicle trajectory, so that the trajectory generation is finished; and 5, taking the pass corresponding to the current vehicle-pass record as a non-tail pass of the vehicle trajectory, and taking the next vehicle-through record as a current vehicle-through record, and re-executing the step 2. The invention also provides a vehicle trajectory aggregation method. The invention can generate vehicle driving trajectory rules based on vehicle-through records in the database.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to a method and device for generating vehicle trajectories; and a method and device for aggregating generated vehicle trajectories. Background technique [0002] The high-definition bayonet system uses advanced photoelectric technology, image processing technology, and pattern recognition technology to take pictures of each passing car, and automatically recognizes the vehicle license plate, model, and body through the built-in image intelligent analysis algorithm. Features such as color. [0003] The passing vehicle information obtained by high-definition bayonet recognition, including license plate number, vehicle speed, vehicle model, elapsed time, lane number, vehicle image, etc., is generally sent to the central server through the network transmission protocol. [0004] After the central server receives the passing data, it will save the data in the background databas...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08G1/017G06F17/30
Inventor 成浩
Owner ZHEJIANG UNIVIEW TECH CO LTD
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