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Urban road traffic state fine division and recognition method aiming at sparse trajectory data

A trajectory data and traffic state technology, which is applied in the traffic control system of road vehicles, traffic flow detection, traffic control system, etc., can solve the inconvenience of traffic state identification research, difficulty in obtaining high-quality trajectory data, road occupancy rate or sampling accuracy Not advanced question

Active Publication Date: 2021-10-29
FUZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Most of the data used in these studies is high-precision trajectory data. However, the existing floating vehicle trajectory data has low road occupancy or sampling accuracy, and it is difficult to obtain high-quality trajectory data, which brings inconvenience to traffic state recognition research.

Method used

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  • Urban road traffic state fine division and recognition method aiming at sparse trajectory data
  • Urban road traffic state fine division and recognition method aiming at sparse trajectory data
  • Urban road traffic state fine division and recognition method aiming at sparse trajectory data

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0039]It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0040] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combination...

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Abstract

The invention relates to an urban road traffic state fine division and recognition method aiming at sparse trajectory data, which comprises the following steps of 1, acquiring a speed value, and calculating the distance between a taxi trajectory point and a terminal point in the driving direction of each road section as a spatial relative position value, 2, expanding [speed-space] domains according to space relative position values and speed values of the trajectory points, calculating an intersection area of front and rear vehicle [speed-space] domains, constructing a vehicle queue for the trajectory points on the road section on the basis of the intersection area, and selecting an optimal queue according to a Devensenberg index, 3, performing secondary processing on the trajectory queue to obtain segmentation points for fine division of the traffic state of each road section, 4, setting a traffic state category number, and obtaining a division threshold value of each category of traffic state in combination with a road traffic congestion degree evaluation method, and comparing the speed value of the vehicle queue finely divided in each local road section with the division threshold value of each type of traffic state to obtain the traffic state of each road section. Thus, the urban traffic state can be finely identified.

Description

technical field [0001] The invention relates to urban road traffic neighborhoods, in particular to a method for finely dividing and identifying urban road traffic states for sparse trajectory data. Background technique [0002] The number of urban motor vehicles continues to increase, and the contradiction between urban traffic supply and demand has become increasingly acute. Traffic congestion has become an urgent problem to be solved in large and medium-sized cities. The traffic status analysis is of great significance to the urban construction of the planning department and the traffic guidance of the government department. [0003] At present, there have been many researches on urban traffic state analysis. Common traffic state recognition research is mainly divided into based on vehicle speed, density, travel time, queue length and flow, etc., mainly using K-means, DBSCAN, fuzzy comprehensive evaluation, Bayesian network and other methods to calculate road speed, flow,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
CPCG08G1/0104Y02T10/40
Inventor 邬群勇朱秋圳张晗姚铖鑫
Owner FUZHOU UNIV
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