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SCATS (Sydney coordinated adaptive traffic system) detector data abnormal value on-line detection method

A data anomaly and detection method technology, applied in the direction of traffic signal control, etc., can solve problems such as inability to diagnose data problems, difficult automatic batch execution, etc., to achieve the effect of improving operation effects, ensuring normal performance, and ensuring effectiveness

Active Publication Date: 2019-01-25
ENJOYOR COMPANY LIMITED
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Problems solved by technology

However, such methods can only be manually operated independently on the data of each coil, and it is difficult to automate batch execution, let alone use machine learning methods to diagnose more subdivided data problems

Method used

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  • SCATS (Sydney coordinated adaptive traffic system) detector data abnormal value on-line detection method
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  • SCATS (Sydney coordinated adaptive traffic system) detector data abnormal value on-line detection method

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Embodiment Construction

[0055] The present invention will be further described below in conjunction with specific examples, but the present invention is not limited to these specific implementations. Those skilled in the art will realize that the present invention covers all alternatives, modifications and equivalents as may be included within the scope of the claims.

[0056] see figure 1 , taking the SCATS signal control system data of a city road intersection as an example to detect outliers.

[0057] A kind of online detection method of SCATS system detector data abnormal value, its steps are as follows:

[0058] 1. Data sorting

[0059] (1), extract the original SCATS data that coil detects from database, described SCATS system data includes intersection number, detector number, date, cycle start time, green light duration, saturation, flow, data is by intersection number , detector number, date and time in sequence. The specific sorting is shown in Table 1:

[0060] Table 1

[0061]

...

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Abstract

The invention relates to an SCATS (Sydney coordinated adaptive traffic system) detector data abnormal value on-line detection method. The method includes the following steps that: (1) SCATS data are extracted from a database, and are arranged according to intersection serial numbers, detector serial numbers, and chronological orders; (2) zero data judgment is performed on the extracted road traffic flow data, zero data which are continuously zero for a time span which exceeds a time interval in the road traffic flow data are classified as abnormal data, and the other data in the road traffic flow data are classified as normal data; and (3) abnormal data judgment is performed on the normal data which are obtained after zero data judgment, the normal data are subjected to traffic flow threshold test, traffic flow parameter consistency test, and traffic flow statistical rule test, and data which are in accordance with test standards are normal data, and data not in conformity with the test standards are abnormal data. With the method of the invention adopted, the validity and accuracy of detection data are ensured, the functions of a SCATS can be performed normally, and the operationeffect of the system can be improved.

Description

technical field [0001] The invention belongs to the field of traffic control and relates to an online detection method for abnormal value of detector data of a SCATS system. Background technique [0002] With the popularization of intelligent transportation system, urban intelligent traffic signal control system is more and more widely used. One of the main differences between the intelligent traffic signal control system and the traditional control system lies in the technical application in the process of real-time road traffic data collection, transmission, processing and storage. With the continuous improvement of data acquisition technology, the control range of signal control system is getting larger and larger, the types of information collected are more and more, and the amount of data is also increasing. In the process of road traffic information data collection, transmission and storage, due to detector equipment failure, communication failure and software operati...

Claims

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Application Information

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IPC IPC(8): G08G1/08
CPCG08G1/08
Inventor 常伟徐甲袁鑫良金盛金峻臣蒋立靓秦俊峰
Owner ENJOYOR COMPANY LIMITED
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