Vehicle Trajectory Reconstruction Method of Urban Arterial Road Based on Fixed-point Detector and Signal Timing Data Fusion

Abstract

The invention provides an urban trunk road vehicle trajectory reconstruction method based on fixed-point detector and signal timing data fusion. The method comprises the following steps: 1) establishing a basis matrix: determining a road occupation condition matrix Point[n, distance, t] at the t moment according to a vehicle running matrix Car [vehicle, t] at the t time, and then, calculating vehicle most probable running status at the t+t0 moment according to the road occupation condition matrix Point[n, distance, t], and thus a Car [vehicle, t+t0<->] constant iterative process is generated; 2) carrying out vehicle generating; 3) carrying out vehicle behavior decision; and 4) judging whether trajectory reconstruction is finished. The method has the advantages of fusing fixed-point detector and signal timing data, not depending on high-quality floating car data and demanding less on traffic data acquisition environment. The method is suitable for multilane and coming / going vehicle traffic interference cases, is wide in applicability, is complete and comprehensive in reconstructed trajectory, and can realize the functions of environment assessment, signal control coordination, travel time estimation and jam state early warning and the like.

Description

technical field [0001] The invention belongs to the field of traffic information, and in particular relates to a method for reconstructing urban main road vehicle tracks based on fusion of fixed-point detectors and signal timing data. Background technique [0002] In the field of traffic engineering, there are two levels of cognition and understanding for vehicle trajectory reconstruction: the first level is the driving path of the vehicle, which refers to the starting and ending points of the vehicle and the road sections and nodes connecting the starting and ending points. Estimation of the OD (Origin Destination) matrix of the road network; the second level is the running trajectory of the vehicle, which refers to the complete physical trajectory of the vehicle during the driving process, which can reflect the changing law of the vehicle speed with time and space. The present invention is aimed at the reconstruction of the second-level vehicle running trajectory. The vehi...

AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention aims at the low quality of floating car data in our country, integrates the existing fixed-point detector data and traffic signal data, and determines some parameters in combination with video data, and proposes A vehicle trajectory reconstruction method for urban arterial roads based on the fusion of fixed-point detectors and signal timing data that is more in line with the traffic information collection environment of typical urban arterial roads in my country is designed to reconstruct the trajectory of vehicles in the case of multi-lane traffic and traffic interference from vehicles entering and leaving. Higher Accuracy Vehicle Trajectory

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