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Road condition assessment method and system based on road high-definition checkpoint data

A high-definition bayonet, road section technology, applied in the direction of road vehicle traffic control system, traffic control system, instruments, etc., can solve the problem of inability to intuitively and visually know the traffic conditions of the road section, unable to scientifically evaluate the traffic conditions of the road section, etc. The effect of traffic condition assessment

Active Publication Date: 2020-11-06
GUANGZHOU MUNICIPAL ENG DESIGN & RES INST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For users of the road section - passengers and drivers, it is impossible to intuitively and visually know the traffic conditions of the road section
In general, the current evaluation methods for road conditions are too abstract to scientifically evaluate the traffic conditions of road segments

Method used

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  • Road condition assessment method and system based on road high-definition checkpoint data
  • Road condition assessment method and system based on road high-definition checkpoint data
  • Road condition assessment method and system based on road high-definition checkpoint data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] refer to figure 1 , the present invention provides a method for assessing road conditions based on road high-definition checkpoint data, comprising the following steps:

[0044] S1. Obtain the first data set collected by the first high-definition bayonet of the road section to be analyzed within the analysis period and the second data set collected by the second high-definition bayonet during the analysis period; the first high-definition bayonet is set in the analysis period The starting point of the road section, the second high-definition bayonet is set at the end point of the road section to be analyzed;

[0045] S2. Calculate the intersection of the first data set and the second data set to obtain a third data set;

[0046] S3. Extract all data records of each vehicle in the third data set to form a data sequence corresponding to the vehicle, and finally form a sequence set of data sequences of all vehicles;

[0047] S4. According to the sequence set, after obtai...

Embodiment 2

[0077] This embodiment is a detailed embodiment of embodiment one, and discusses the train of thought of the present invention as a whole, specifically as follows:

[0078] figure 2 As shown, it is an expressway section in a certain city, and the starting point and the ending point of the section are section A and section B respectively. Section A and section B are respectively equipped with high-definition mounts. In this specific embodiment, the two high-definition bayonets are respectively named bayonet a and bayonet b. Here, only one-way traffic from section A to section B is considered.

[0079] First, define the nouns described in Table 1 below:

[0080] Table 1

[0081]

[0082]

[0083] Rule 1: If a vehicle travels continuously from section A to section B (leaves the road section without any exit and then returns to the road section), it must be photographed by bayonet a, and then by bayonet b.

[0084] Based on rule 1, if a vehicle continuously travels from...

Embodiment 3

[0116] refer to Figure 7 , a road section condition assessment system based on road HD checkpoint data, including:

[0117] at least one processor 100;

[0118] at least one memory 200 for storing at least one program;

[0119] When the at least one program is executed by the at least one processor 100, the at least one processor 100 implements the road section condition assessment method based on road HD checkpoint data.

[0120] The vehicle destination prediction system based on user behavior in this embodiment can execute the vehicle destination prediction method based on user behavior provided by the method embodiment of the present invention, can execute any combination of implementation steps of the method embodiment, and has the corresponding method Functions and beneficial effects.

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Abstract

The invention discloses a road segment condition evaluation method and system based on road high-definition bayonet data. The method comprises acquiring a first data set and a second data set of a road segment to be analyzed; obtaining an intersection to obtain a third data set; extracting all data records of each vehicle in the third data set, forming a data sequence corresponding to the vehicle,and forming a sequence set; according to the sequence set, extracting the arrival time of each vehicle reaching an end point and the travel time of each vehicle from a start point to the end point, and forming a first time data set; obtaining a second time data set by performing data filtering on the first time data set; fitting the data of the second time data set by using a local weighted regression algorithm to obtain a third time data set, and then fitting a smooth regression line; obtaining a condition evaluation index of the road segment to be analyzed. The method and system can evaluate the traffic condition of the road segment to be analyzed in a visualized, vivid and reasonable manner, and can be widely used in the field of intelligent monitoring of traffic conditions.

Description

technical field [0001] The invention relates to the field of intelligent monitoring of road traffic conditions, in particular to a road section condition evaluation method and system based on road high-definition checkpoint data. Background technique [0002] The traffic operation status of road sections can generally be analyzed and judged by indicators such as traffic flow, saturation, service level, travel time, and delay. Indicators such as traffic flow, saturation, and service level are generally used in traffic planning, design, and traffic impact assessment. They are relatively abstract and mainly reflect the demand, capacity, and carrying capacity of the macro road network where the road section is located. For the users of the road section——passengers and drivers, it is impossible to intuitively and visually know the traffic conditions of the road section. In general, the current assessment methods for road conditions are too abstract to scientifically evaluate the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/0133
Inventor 王蓓宁平华张晓瑾段小梅熊勇李耘博马文轩郑世琦杨志锐马隽黎升福
Owner GUANGZHOU MUNICIPAL ENG DESIGN & RES INST CO LTD
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