Method and device for estimating vehicle cycle queue length based on sampling trajectory data
A technology of queuing length and trajectory data, which is applied in traffic flow detection and other directions, can solve problems such as difficulty in ensuring accuracy, and achieve the effects of wide application range, strong universality, and high estimation accuracy
Active Publication Date: 2021-08-10
苏州易通交通科技有限公司
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However, the existing probabilistic methods either require additional information such as vehicle arrivals, or require training a large number of model parameters, which are difficult to put into practice, and the accuracy is also difficult to guarantee under low penetration rates.
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[0077] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.
[0078] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...
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The invention discloses a method and device for estimating vehicle cycle queuing length based on sampled trajectory data. The method includes: acquiring sampled vehicle trajectory data, and obtaining the arrival distribution characteristics of vehicles by superimposing the trajectory data; based on the arrival distribution characteristics of vehicles, considering The arrival of vehicles obeys the time-varying Poisson distribution, and the average arrival rate of vehicles in the time period is estimated; based on the parking position of the last queuing sampling vehicle and the passing time of the first non-queuing sampling vehicle, the range of queuing length in each cycle is determined; according to the vehicle According to the arrival distribution and range of queue length, the probability theory model is established, the likelihood function of queue length is derived, and the method of maximum likelihood estimation is used to solve it. The invention obtains the arrival distribution characteristics of the vehicles by using the historical trajectory data, and is suitable for the situation of extremely low penetration rate. Simulation and empirical verification show that the method has a high estimation accuracy for the periodic queuing length.
Description
technical field [0001] The invention relates to the field of traffic control, in particular to a method and device for estimating vehicle cycle queue length based on sampling trajectory data. Background technique [0002] As the throat of the city, the operation status of the intersection directly affects the operation status of its associated road sections. When traffic congestion occurs, the congestion will gradually spread and spread, and the chain reaction of the journey may even lead to the paralysis of the entire road network. It can be seen that optimizing the operation of intersections plays an important role in improving urban traffic. However, before performing the optimization, an essential step is the estimation of the traffic state at the intersection. Common indicators to measure the traffic status at intersections include flow rate, delay, queuing, and parking times. At present, the main data sources for traffic state estimation at signal-controlled intersec...
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IPC IPC(8): G08G1/01
Inventor 唐克双谈超鹏李克平孙剑
Owner 苏州易通交通科技有限公司