Intersection traffic flow characteristic analysis and vehicle moving prediction method based on trajectory data

Abstract

The invention discloses an intersection traffic flow characteristic analysis and vehicle moving prediction method based on trajectory data, and belongs to the technical field of intelligent traffic system and traffic flow parameter acquisition. The method starts with space transient analysis of a vehicle original trajectory, and describes and analyzes trajectory local geometrical characteristics at different angles, forms a multilevel spectral clustering processing framework based on a vehicle original rough movement track, and automatically extracts and analyzes a plurality of traffic direction modes of an intersection included in the trajectory data. With the basis, the method can acquire intersection sub-phase (signal control intersection) traffic flow and travel time of vehicles in all directions passing through the intersection, and other detailed traffic characteristic parameters, as important complement of conventional traffic data. Through tracking travelling tracks of all moving vehicles at present moment, a traffic direction trajectory mode matching method is used to predict the next behavior of the vehicles, thereby being beneficial for warning safety risks which may exist on an intersection in real time.

Description

technical field [0001] The invention belongs to the technical field of intelligent traffic system (machine vision and image processing) and traffic flow parameter acquisition, and specifically relates to a method for analyzing traffic flow characteristics at an intersection and predicting vehicle motion based on original rough track data of vehicles. Background technique [0002] Road intersections are an important part of urban road systems. The actual measurement and analysis of traffic flow operating characteristics at intersections is undoubtedly of great theoretical and practical significance. It will be useful for the analysis of intersection capacity, delay and service level, intersection channelization design and traffic organization optimization, and the application of intersection control management. etc. provide an important theoretical basis (X.Li, X.Li, D.Tang, X.Xu. Deriving features of traffic flow around an intersection from trajectories of vehicles[C]. 18th ...

AI Technical Summary

Problems solved by technology

In order to solve the problem that it is difficult to obtain large-scale high-quality intersection vehicle trajectory data, the present invention proposes an analysis method based on the local robust feature extraction theory (S.Huet, E. Karatekin, V.S.Tran, I.Fanget, S.Cribier, J.Henry.Analysis of transient behavior in complex trajectories: application to secretory vesicle dynamics[J].Biophysical Journal.2006,91(9):3542-3559)(J.A. Helmuth, C.J. Burckhardt, P. Koumoutsakos, U.F. Greber, I.F. Sbalzarini. A novel supervised trajectory segmentation algorithm identifies distinct types of human adenovirus motion in host cells [J]. Journal of Structural Biology. 2007-5): 359 ( ), describe and analyze the local geometric features of the trajectory from different angles, and directly process the rough original trajectory data, propose a general multi-level spectral clustering processing framework based on the original rough vehicle trajectory, automatically extract and analyze (data Mining) multiple traffic flow patterns at intersections contained in trajectory data

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