On-line queuing length detection method based on floating vehicle data

Abstract

The invention provides a high-practicability, high-efficiency and low-cost on-line queuing length detection method based on floating vehicle data. The method comprises the following steps of: 1, matching the current position of a vehicle with an electronic map according to positioned information of a global positioning system (GPS); 2, counting parking times according to a preset time interval, a counting interval and a parking point; and 3, estimating a queuing length, and adding limits of error for correction.

Description

technical field [0001] The invention belongs to the traffic field. Background technique [0002] The key factor restricting the traffic capacity of urban arterial roads is the signalized intersection. The traffic capacity of signalized intersections is generally lower than that of conventional road sections. Due to the existence of red lights, traffic jams and delays often occur at signalized intersections. Queue length, as an important index to evaluate the operating efficiency of signalized intersections, can reflect the traffic flow conditions at intersections in a timely manner, and plays a vital role in optimizing signal timing. [0003] The current research and technology status at home and abroad are mainly as follows: [0004] First, model research. Scholars at home and abroad have done a lot of research on the calculation models of queue length at intersections. The more classic models are queue length models such as MILLER, AKCELIK, SYNCHRO, SIGNAL94, and TRANS...

AI Technical Summary

Problems solved by technology

However, the matching of the stop point by this method is only filtered by setting the projection distance threshold, but when the vehicle is parked or driving at a low speed, the GPS point will drift greatly, which will lead to a large matching error; and the The method does not consider the situation of abnormal parking in front of the intersection

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