Method for estimating arrival rate of vehicle at signal intersection

Abstract

The invention discloses a method for estimating arrival rate of vehicle at signal intersection. The method comprises the steps of (1) calculating the degree of association between the upstream and downstream signal intersections, wherein the upstream and downstream signal intersections include an independent signal intersection and an associated signal intersection, (2) analyzing the arrival process of a vehicle at the independent signal intersection and the associated signal intersection separately to obtain the arrival laws of the vehicle, (3) analyzing the discrete situation of a fleet at the associated signal intersection, and (4) establishing an independent signal intersection vehicle arrival rate estimation model and an association signal intersection vehicle arrival rate estimationmodel separately according to the arrival laws of the vehicle at the independent signal intersection and the associated signal intersection to calculate the vehicle arrival rate.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and in particular relates to a method for estimating the vehicle arrival rate at a signalized intersection. Background technique [0002] The complex road environment of urban road signalized intersections makes various types of traffic flow converge at signalized intersections, so the traffic behavior of vehicles at intersections is often complicated. Analyzing the traffic behavior of vehicles at intersections is the key to study intersection problems (intersection queue length estimation, intersection delay time estimation, etc.). The estimation of vehicle arrival rate at signalized intersections can not only grasp the traffic behavior of vehicles at intersections, but also provide reference information for road traffic state estimation and signal light timing parameter optimization. Therefore, the estimation of vehicle arrival rate at signalized intersections has very important pract...

AI Technical Summary

Problems solved by technology

However, this assumption is not applicable in some road environments. For example, for two adjacent signalized intersections, when the red light phase of the upstream intersection ends, the vehicles arriving at the downstream signalized intersection will appear in the form of platoon arrival and There are two kinds of random arrival, so the arrival process of the vehicle is not simply obeying a specific distribution

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