A Vehicle Trajectory Reconstruction Method Based on Bayonet Data

Abstract

The invention discloses a gate data-based vehicle trajectory reconstruction method. The method includes the following steps that: step 1, an initial road network is set; step 2, an alternative trajectory set is set; step 3, trajectory decision-making attributes are set; and step 4, an optimal alternative trajectory is calculated. With the method adopted, vehicle trajectories can be reconstructed based on gate data when vehicle trajectory points are missing and vehicle trajectories are incomplete in the gate data.

Description

technical field [0001] The invention relates to the field of transportation, in particular to a vehicle track reconstruction method based on bayonet data. Background technique [0002] The bayonet data is a series of vehicle record data measured by the bayonet equipment installed at the intersection, including license plate number information, vehicle passing time information, location information, etc. At present, more and more researches are using checkpoint data, including road status assessment, commuting characteristic analysis, etc. However, due to the limited accuracy of the license plate number recognition by bayonet equipment, vehicle track points are often missing during data processing, resulting in incomplete tracks and affecting subsequent analysis. At present, there are many researches on vehicle trajectory reconstruction, the patent application number is 201310156627.1 - "A Driving Trajectory Restoration Algorithm Based on Road Attributes and Real-time Road C...

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Problems solved by technology

[0003] The present invention is proposed based on the above-mentioned defects of the prior art. The problem to be solved in the present invention is to propose a vehicle trajectory reconstruction based on bayonet data in view of the lack of vehicle track points and incomplete tracks in the bayonet data. method

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