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Artery vehicle track reconstruction method based on data fusion of electronic police and fixed point detector

A vehicle trajectory and data fusion technology, applied in the field of traffic information, can solve problems such as low proportion, reduced algorithm accuracy, and difficulty in practical application

Active Publication Date: 2018-08-24
连云港杰瑞电子有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Once the mass of the floating car decreases, the accuracy of the algorithm decreases rapidly
The frequency of uploading floating car data in my country is low, and the proportion is also low, so it is difficult to get a wide range of practical applications
It does not meet the traffic detection data conditions of my country's arterial road floating car data quality is low and fixed-point detectors are more common and have a certain number of electric police

Method used

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  • Artery vehicle track reconstruction method based on data fusion of electronic police and fixed point detector
  • Artery vehicle track reconstruction method based on data fusion of electronic police and fixed point detector
  • Artery vehicle track reconstruction method based on data fusion of electronic police and fixed point detector

Examples

Experimental program
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Effect test

Embodiment 1

[0119] Embodiment 1, a method for reconstructing the trajectory of vehicles on main roads based on data fusion of electric police and fixed-point detectors:

[0120] The basic applicable conditions of the inventive method are:

[0121] 1. Intersections of urban arterial roads are signal-controlled intersections, and each intersection has a detailed signal timing scheme.

[0122] 2. There are electric alarms at both ends of the main road section to detect the passing information of the vehicle (vehicle ID, passing time, and lane parameter information). Lane-level fixed-point detectors are deployed on each road section to detect the flow and speed data of the road section, and the upload frequency is not less than once a minute, and there are no road sections missing fixed-point detectors.

[0123] 3. There are no bus priority intersections.

[0124] 2) Control strategy and logic

[0125] 1. Basic idea

[0126] The present invention starts from the level of using constraint ...

Embodiment 2

[0257] Embodiment 2, a kind of reconstruction method of main road vehicle trajectory based on electric police and fixed-point detector data fusion:

[0258] (1) Data collection and processing

[0259] Select Fuzhou South Road (Zhangzhou 2nd Road-Minjiang Road) in Shinan District, Qingdao City as the demonstration road section. The total length of the road section is 500m. The detector position and lane function are as follows Figure 8 shown.

[0260] (2) Data processing

[0261] The main data collected in this study include fixed-point detector data, electric police data, signal timing data and video data, among which the fixed-point detector data, electric police data and signal timing data are the input data of the trajectory reconstruction algorithm, and the video data mainly Used for validation analysis.

[0262] A total of 180 pieces of microwave radar data were extracted in this study, and the data content is the flow rate (veh / min), average velocity (m / s) and occupa...

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Abstract

Provided is an artery vehicle track reconstruction method based on data fusion of electronic polices and fixed point detectors. The method includes the following steps: inputting a certain number of vehicles into a control system at specified time, specified roads or crossings; introducing constraints on the basis of an actual traffic running mode and a traffic wave associated theory, and screening a small number of reasonable tracks from possible tracks; taking actual traffic running conditions as reference, screening out an optimal track which is closest to reality from a small number of reasonable tracks by taking relevant parameters reflecting the actual traffic running conditions as standards, and then completing track reconstruction. The constraints include queuing overflow identification in fixed point detector; space-time area free flow speed acquisition; segmentation of upstream phase sequences and set timing periods; upstream input flow acquisition; and vehicle diversion behavior partition based on electronic police data. Reconstructed track adjustment is carried out on the basis of traffic parameters reflecting the actual traffic running conditions and then a final reconstructed track that better accords with reality is obtained, so the track reconstruction accuracy is improved.

Description

technical field [0001] The invention belongs to the field of traffic information, and in particular relates to a method for reconstructing vehicle tracks on arterial roads based on fusion of fixed-point detectors, signal timing data and electric police data. Background technique [0002] In the field of traffic engineering, there are two levels of cognition and understanding for vehicle trajectory reconstruction: the first level is the driving path of the vehicle, which refers to the starting and ending points of the vehicle and the road sections and nodes connecting the starting and ending points. Estimation of the OD (Origin Destination) matrix of the road network; the second level is the running trajectory of the vehicle, which refers to the complete physical trajectory of the vehicle during the driving process, which can reflect the changing law of the vehicle speed with time and space. The present invention is aimed at the reconstruction of the second-level vehicle runn...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
CPCG08G1/0116G08G1/0129
Inventor 项俊平唐克双沈辉焱母万国丁海龙
Owner 连云港杰瑞电子有限公司
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