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Title:

Using Model Aircraft to Collect Vehicle Trajectory Data

Accession Number:

01517507

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Video data has been used more widely in the field of traffic engineering in recent years, especially in the vehicle trajectories extraction. However, the existing methods of collecting video data have many shortcomings, including the high cost and inflexibility. What's more, existing video data processing systems are complex and have some limitations, either highly influenced by traffic condition or time-consuming and laborious. This paper proposed a new method to collect video data and process the data to extract vehicle trajectories. A consumer-grade camera which can shoot high-quality video was installed on a fixed-wing model aircraft, designed specifically for traffic surveillance. Also, an image processing software was developed, which can process the image frames extracted from the video shot by camera on model aircraft. The proposed method only needs to know coordinates of several reference points (e.g., some certain pavement markings) in the first image, which can be easily obtained by measuring or other accessible methods. The software can calculate the time-dependent coordinates of vehicles in consecutive series of pictures and, then, draw the trajectory automatically. The whole system can collect trajectory data effectively and efficiently, the cost of which is lower than those of existing systems. The general accuracy of trajectory is of the order of 10cm with the observing height around 200m, in addition, it takes only 30 minutes around for an experienced operator to obtain an 100-meter-long trajectory of around 8 vehicles by using the proposed system.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ50 Information Systems and Technology.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-2801

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Wang, Hao
Duan, Songyao
Zheng, Yunzhuang
Liu, Shanwen
Dong, Changyin
Li, Ye

Pagination:

18p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Subject Areas:

Data and Information Technology; Highways; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-2801

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 2:57PM