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A Queue Length Distribution Estimation Method Based on Sampling Trajectory Data

A technology for queuing length and distribution estimation, which is applied to traffic control systems, instruments, and traffic flow detection of road vehicles. The effect of wide, universal, and high estimation accuracy

Active Publication Date: 2020-08-18
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Similarly, the accuracy of this method is not high in the sparse trajectory environment, and it is difficult to meet the actual needs
It can be seen that in the low-permeability trajectory environment, it is still difficult to estimate the length of the periodic queue

Method used

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  • A Queue Length Distribution Estimation Method Based on Sampling Trajectory Data
  • A Queue Length Distribution Estimation Method Based on Sampling Trajectory Data
  • A Queue Length Distribution Estimation Method Based on Sampling Trajectory Data

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Embodiment

[0054] Such as Figure 7As shown, the present invention provides a kind of queuing length distribution estimation method based on sampling trajectory data, comprising the following steps:

[0055] 1) Obtain the sampled vehicle trajectory data, and extract the queuing position information of each queuing sampled vehicle;

[0056] The eigenvector expression of the j-th trajectory point of the i-th vehicle is:

[0057] the s i,j ={x i,j ,v i,j ,t i,j ,δ i,j}

[0058] where x i,j is the position of the vehicle at that moment; v i,j is the speed of the vehicle at this moment; t i,j is time; δ i,j is the driving state of the vehicle.

[0059]

[0060] For the i-th car, if there is an m-th point such that δ i,m =1, and δ i,m-1 = 0, the vehicle is a queuing vehicle, and x i,m is the queuing position of the vehicle.

[0061] 2) The method of kernel density estimation is used to fit the queuing position distribution of the sampled vehicles;

[0062] Record the sample ...

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Abstract

The invention relates to a queue length distribution estimation method based on sampling trajectory data. The method comprises the following steps: 1) the trajectory data of sample vehicles are acquired, and the queue position information of each sample vehicle in the queue is extracted; 2) the queue position distribution of the sample vehicles in the queue is fit and obtained by adopting a kerneldensity estimation method; and 3) based on the queue position distribution of the sample vehicles, the queue length distribution in the time period is estimated and obtained. Compared with the priorart, the method of the invention has the advantages of low permeability requirements, high estimation accuracy, wide application range and the like.

Description

technical field [0001] The invention relates to the field of traffic control, in particular to a method for estimating queue length distribution based on sampling trajectory data. Background technique [0002] At present, the traffic information input required for the monitoring and evaluation of traffic operation status at intersections and signal control mainly relies on fixed-point detectors represented by coils, geomagnetism, microwaves, and video. However, the limitations of fixed-point detection and the high damage rate, high use and maintenance costs of fixed-point detection directly affect the accuracy of traffic state detection and the performance of the control system. In recent years, relying on the rapid development and popularization of positioning technology and mobile Internet technology, new intelligent transportation technologies such as mobile intelligent terminal navigation, Internet of Vehicles, and intelligent networked vehicles have developed rapidly, a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/0129G08G1/0133
Inventor 唐克双谈超鹏姚佳蓉
Owner TONGJI UNIV