A method and system for estimating traffic state parameters at intersections based on multi-source data

Abstract

The invention discloses a method and system for estimating traffic state parameters at an intersection based on multi-source data, wherein the method comprises: establishing a vehicle delay model according to the traffic wave theory, and establishing a flow-direction-level vehicle travel time model according to the speed distribution characteristics of the vehicle; The traffic flow at the entrance of the road section is detected and obtained by the fixed-point detector, and the number of vehicles arriving at the entrance of the road section is determined; according to the vehicle trajectory obtained by the motion detector, the traffic steering ratio of the road section is determined by setting the virtual travel line; according to the vehicle travel time model, the arriving vehicles Determine the Bayesian network for different flow directions; solve the Bayesian network and determine the maximum queue length and average travel time of vehicles in different flow directions. The embodiment of the present application combines vehicle trajectory data and fixed-point detector data, and establishes a parameter estimation method that integrates traffic wave theory and statistical analysis, thereby effectively improving the accuracy of traffic state parameter estimation.

Description

technical field [0001] The present application relates to the field of traffic control, and in particular, to a method and system for estimating traffic state parameters at an intersection based on multi-source data. Background technique [0002] Traffic congestion is a representative "urban disease" problem faced in the process of new urbanization construction in my country, causing huge losses to social and economic development. The optimization of traffic conditions at intersections is the key to preventing and alleviating traffic congestion, and the estimation of traffic state parameters at intersections is an essential prerequisite for traffic optimization. In traditional traffic signal systems, fixed-point detectors are mostly used to obtain and estimate traffic state parameters. However, factors such as the location and detection frequency of fixed-point detectors will affect the estimation accuracy of traffic state parameters, and the maintenance cost of fixed-point ...

AI Technical Summary

Problems solved by technology

Moreover, the popularity of mobile detectors is not high at this stage, and the vehicle trajectory data still has the problem of low penetration rate. The lack of vehicle trajectory data also has a negative impact on the accuracy of traffic state parameter estimation.

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