Intersection arrival rate estimation method based on sampling trajectory data

A trajectory data and intersection technology, applied in the field of urban traffic information, can solve traffic demand and sensitive application scenarios, and achieve the effect of wide application range, strong generality, and good scalability

Active Publication Date: 2021-01-08
TONGJI UNIV
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Problems solved by technology

Similarly, the estimation accuracy of the existing flow estimation methods using trajectory data has a greater correlation with the vehicle arrival distribution assumptions adopted, and is more sensitive to traffic demand and application scenarios

Method used

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  • Intersection arrival rate estimation method based on sampling trajectory data
  • Intersection arrival rate estimation method based on sampling trajectory data
  • Intersection arrival rate estimation method based on sampling trajectory data

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Embodiment

[0058] like Figure 4 As shown, the present invention provides a method for estimating the arrival rate of intersections based on sampled trajectory data, by using sampled vehicle trajectory data to obtain the arrival flow of each cycle, including the following steps:

[0059] 1) Obtain sampled vehicle trajectory data, and calculate the arrival rate between queuing trajectories and preprocess it into an arrival rate matrix:

[0060] like figure 1 As shown, the position information of the sampled trajectory data passing through the intersection entrance is preprocessed into the relative distance from the stop line, and the speed of each trajectory point is used to judge whether the vehicle is stopped at this point, so as to obtain the The key point for queuing vehicles to join the queue. For the interval between two adjacent queuing trajectories in each period, the arrival rate of the interval can be calculated as follows:

[0061]

[0062] Among them, j is the cycle numb...

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Abstract

The invention relates to an intersection arrival rate estimation method based on sampling trajectory data. The method comprises the following steps: 1) obtaining sampling vehicle trajectory data, andpreprocessing the arrival rate between queuing trajectories into an initial arrival rate matrix; 2) according to the initial arrival rate matrix, filling null values in the initial arrival rate matrixthrough a singular value threshold algorithm to obtain a filled arrival rate matrix; and 3) correcting and repairing the filled arrival rate matrix to obtain a final arrival rate matrix, and accumulating and multiplying the arrival rate vector of each period by the length of the unit time interval to obtain the flow of each period. Compared with the prior art, the method has the advantages of being high in universality, good in expansibility, wide in applicability and the like.

Description

technical field [0001] The invention relates to the field of urban traffic information, in particular to a method for estimating the arrival rate of intersections based on sampling trajectory data. Background technique [0002] At urban signal-controlled intersections, the traffic flow in each signal cycle plays an important role in traffic state estimation and signal control optimization. The existing traffic detection mainly obtains flow data through fixed detectors represented by coils to determine the actual arrival time. With the development and popularization of vehicle positioning and Internet of Vehicles technology, real-time trajectory data is gradually applied to urban traffic management. Taking Shanghai as an example, currently the city has established a floating car system based on 50,000 taxis and 20,000 buses, with a daily data transmission frequency of 10-30 seconds; The massive database of 10,000 registered users processes up to 70TB of GPS trajectory data e...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/065G08G1/081
CPCG08G1/0104G08G1/0129G08G1/065G08G1/081
Inventor 唐克双姚佳蓉谈超鹏孙剑
Owner TONGJI UNIV
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