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Road-network equipment detection time abnormity recognizing and actual time difference estimating method

An identification method and equipment detection technology, applied in the field of intelligent traffic information, can solve the problems of omission of real conditions, inaccurate output of traffic status results, lack of identification of monitoring point recording time errors, etc., and achieve the effect of accurate identification

Active Publication Date: 2017-09-08
NETPOSA TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the existing technology mainly determines whether the road condition of a road section is abnormal based on the threshold method to determine a reasonable range of road condition values. Artificially determined, it is inevitable that some omissions of the real situation will occur
[0006] On the other hand, the existing technology uses the average calculation based on the road condition values ​​of the adjacent periods before and after the abnormal data repair, which will cause the calculated average value of the road conditions to not truly reflect the actual traffic conditions, resulting in inaccurate output of traffic status results

Method used

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  • Road-network equipment detection time abnormity recognizing and actual time difference estimating method

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Embodiment 1

[0049]Since the intersection is an important part of the complex traffic network and a key point that affects the traffic status of the road network, it is necessary to start with the traffic status of the intersection, the road section and the road network. In the intelligent transportation system, whether it is real-time road traffic state discrimination or future road traffic state prediction, it is necessary to conduct research on road flow or average driving speed. The data source is collected by cameras installed at various intersections and road sections. Traffic information for all vehicles.

[0050] The collection technology of the present invention is based on the fixed collection technology, and the fixed collection technology refers to the general term for methods for collecting traffic flow data by monitoring moving vehicles through traffic detector equipment at fixed locations.

[0051] Fixed detectors mainly include magnetic frequency, wave frequency and video. ...

Embodiment 2

[0067] A method for identifying abnormal detection time of equipment in a road network, the method is based on a fixed collection device in the road network, and the method for identifying includes the following steps:

[0068] First, the adjacent monitoring points of each monitoring point in the road network are extracted in combination with the historical data monitored by each monitoring point in the road network. Taking monitoring point A as an example, the method for extracting the adjacent monitoring points of monitoring point A includes the following steps:

[0069] Vehicle information statistics: Merge the passing records of each vehicle in chronological order according to historical data, and obtain multiple sets of vehicle traffic data including vehicle identification, front monitoring point, front passing time, rear monitoring point, and rear passing time; The passing time is the time when passing the previous monitoring point, and the post-passing time is the time w...

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Abstract

The invention mainly belongs to the intelligent transportation information technology field, and more particularly, to a road-network equipment detection time abnormity recognizing and actual time difference estimating method. The invention proposes a method for recognizing the equipment whose testing time differs from the standard time and the actual time difference estimation based on the travel time calculation in a complicated transportation equipment network. According to the invention, historically recorded real data are utilized to calculate the traveling time of vehicles for different road sections so as to determine whether the monitoring point times are accurate or not, are consistent with the actual standard time or not, and to perform data restoration on the inaccurate traveling time so as to accurately recognize the equipment with abnormities at the monitoring point time and to correct the actual time difference estimation of vehicles according to the recorded data.

Description

technical field [0001] The invention mainly belongs to the technical field of intelligent traffic information, and specifically relates to a method for identifying abnormal detection time of equipment in a road network and estimating a real time difference. Background technique [0002] Intelligent transportation system is a new type of traffic control technology that combines electronics, sensing and other technologies, including three subsystems from the bottom to the top, traffic information collection system, traffic information processing and analysis system, and traffic information release system. In the intelligent transportation system, whether it is real-time road traffic state discrimination or future road traffic state prediction, it is necessary to study the road flow or average driving speed. The data source of the intelligent transportation system comes from the traffic information collection system. The traffic information collection system mainly uses traffi...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06Q10/06
CPCG06Q10/063G08G1/0129
Inventor 吴建龙史柯
Owner NETPOSA TECH
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