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A method for fine division and identification of urban road traffic status based on trajectory data

A technology of traffic status and trajectory data, which is applied in the traffic control system of road vehicles, traffic flow detection, traffic control system, etc., can solve the problem of low road occupancy or sampling accuracy, inconvenient research on traffic status recognition, and high-quality trajectory data. Difficulty in obtaining

Active Publication Date: 2022-07-08
FUZHOU UNIV
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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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  • A method for fine division and identification of urban road traffic status based on trajectory data
  • A method for fine division and identification of urban road traffic status based on trajectory data
  • A method for fine division and identification of urban road traffic status based on trajectory data

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Embodiment Construction

[0039] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0040]It should be noted that the following detailed description is exemplary and intended to provide further explanation of the application. Unless otherwise defined, 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.

[0041] It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural as well, furthermore, it is to be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates that There are features, steps, operations, devices, components and / o...

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Abstract

The present invention relates to a method for fine division and identification of urban road traffic conditions for sparse trajectory data. 1: Collect speed values, and calculate the distance of taxi trajectory points relative to the end point of each road section's travel direction as its relative spatial position value; 2. : According to the relative position value and speed value of the trajectory point space, expand the [speed-space] domain, calculate the intersection area of ​​the [speed-space] domain of the front and rear vehicles, and build a vehicle queue for the trajectory points on the road segment based on this, according to Fort Davidson Ding index selects the best queue; 3: Perform secondary processing on the trajectory queue to obtain the segmentation points for the fine division of the traffic status of each road section; 4: Set the number of traffic status categories, and obtain the traffic status of each category in combination with the "Road Traffic Congestion Evaluation Method" The speed value of the vehicle queue in each local road section is finely divided with the division threshold of each type of traffic state to obtain the traffic state of each road section, and the present invention can realize the fine identification of urban traffic state.

Description

technical field [0001] The invention relates to urban road traffic neighborhoods, in particular to a method for fine division and identification of urban road traffic states for sparse trajectory data. Background technique [0002] The number of motor vehicles in the city continues to increase, the contradiction between the supply and demand of urban traffic is becoming increasingly acute, and traffic congestion has become an urgent problem to be solved in large and medium-sized cities. The analysis of traffic conditions is of great significance to urban construction by planning departments and traffic diversion by government departments. [0003] At present, there have been many studies on the analysis of urban traffic conditions. The 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 ca...

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Application Information

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Patent Type & Authority Patents(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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