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

Abstract

The present invention provides an online queuing length detection method based on floating car data with good implementability, high efficiency and low cost, comprising the following steps: step 1, matching the current position of the vehicle with the electronic map according to the GPS positioning information ; Step 2, according to the preset time interval, statistical interval and parking point, count the number of parking; Step 3, estimate the queue length and add error limit correction.

Description

Technical field [0001] The present invention belongs to the field of transportation. Background technique [0002] The key factor of restrictions on urban main roads is the cross section of the signal.The traffic capacity at the signal intersection is generally lower than that of conventional road sections. Due to the existence of red lights, traffic congestion and delay at the signal intersection will often occur.The queuing length is an important indicator of the operating efficiency of evaluation signal crossing. It can timely reflect the running status of the traffic at the intersection, which has a vital role in optimizing the signal. [0003] The current status of research and technology at home and abroad is mainly as follows: [0004] First, model research.Scholars at home and abroad have done a lot of research on the cross -line queuing length calculation model. The more classic are Miller, Akcelik, Synchro, SIGNAL94, Transyt and other queuing length models, as well as m...

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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