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A Data Fusion Method for Stop Line Detector and Queue Detector Based on Time Window

A data fusion and detector technology, applied in the field of traffic engineering, can solve the problems affecting the accurate collection and processing of traffic information, the huge difference in traffic conditions of traffic information, and inaccurate data, etc., to reduce the amount of calculation, reduce the scope of data, and obtain fast Effect

Inactive Publication Date: 2020-06-05
BEIHANG UNIV
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Problems solved by technology

Because the data detected by a single detector has inaccurate data, missing data and unmatched data, the resulting traffic information is very different from the actual traffic conditions and cannot be used, which greatly affects the accurate collection and operation of traffic information. deal with

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  • A Data Fusion Method for Stop Line Detector and Queue Detector Based on Time Window
  • A Data Fusion Method for Stop Line Detector and Queue Detector Based on Time Window
  • A Data Fusion Method for Stop Line Detector and Queue Detector Based on Time Window

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Embodiment Construction

[0035] The invention provides a data fusion method based on stop line detection and vehicle queuing detector, which can match and fuse the data of the vehicle queuing detector upstream of the intersection and the data of the stop line detector at the intersection.

[0036] Specifically, the data fusion method of the parking line detector and the queuing detector in the present invention is as follows:

[0037] We define vehicle arrival as an event.

[0038] Step 1. The vehicle queuing detector is located upstream of the signalized intersection. The specific location is as follows: figure 1 shown; the stop line detector is at the stop line of the signalized intersection, the specific position is as follows figure 1 shown;

[0039] The vehicle queuing detector uses a toroidal coil detector. When a vehicle passes through the coil embedding position, the vehicle is in the alternating magnetic field of the toroidal coil, which will generate an induced electromotive force inside t...

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Abstract

This patent discloses a data fusion method of a parking line detector and a queuing detector based on a time window. The method includes: step 1: data acquisition; step 2: data fusion; using the time window method in the data fusion process , Step 3: Match the data of the stop line detector with the data of the vehicle queue detector. Through the above method, the data detected by the stop line detector and the queuing detector are fused to obtain more accurate road information data. To estimate a more accurate traffic state. The time window method is proposed, which narrows the data range of the parking line detector data that needs to be matched. Compared with the existing technology, it reduces the calculation amount of data matching, improves the efficiency of data matching, and makes the acquisition of traffic status faster. .

Description

technical field [0001] The invention relates to the field of traffic engineering, in particular to a data fusion method based on a stop line detector and a queue detector. Background technique [0002] The acquisition of traffic status is the premise of effective traffic management and control. The accuracy of acquisition of important traffic parameters such as vehicle speed and traffic flow on the road directly affects the identification and judgment of traffic status. There are various ways to collect traffic parameters, such as roadside fixed equipment collection, bayonet data collection, surveillance video collection, etc. The collection of roadside equipment is mainly through parking line detectors and queuing detectors. [0003] Both the parking line detector and the queuing detector are loop coil detectors, which belong to magnetic frequency detectors; based on the electromagnetic principle, when a vehicle passes the detector, the loop inductance changes to determine...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06K9/62
CPCG08G1/0133G06F18/25
Inventor 王云鹏王子睿于海洋任毅龙杨阳王飞张力
Owner BEIHANG UNIV
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