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Surrogate Safety Analysis of Pedestrian-Vehicle Conflict at Intersections Using Unmanned Aerial Vehicle Videos
Joint Authors
Chen, Peng
Yu, Guizhen
Zeng, Weiliang
Wang, Yunpeng
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Conflict analysis using surrogate safety measures (SSMs) has become an efficient approach to investigate safety issues.
The state-of-the-art studies largely resort to video images taken from high buildings.
However, it suffers from heavy labor work, high cost of maintenance, and even security restrictions.
Data collection and processing remains a common challenge to traffic conflict analysis.
Unmanned Aerial Systems (UASs) or Unmanned Aerial Vehicles (UAVs), known for easy maneuvering, outstanding flexibility, and low costs, are considered to be a novel aerial sensor.
By taking full advantage of the bird’s eye view offered by UAV, this study, as a pioneer work, applied UAV videos for surrogate safety analysis of pedestrian-vehicle conflicts at one urban intersection in Beijing, China.
Aerial video sequences for a period of one hour were analyzed.
The detection and tracking systems for vehicle and pedestrian trajectory data extraction were developed, respectively.
Two SSMs, that is, Postencroachment Time (PET) and Relative Time to Collision (RTTC), were employed to represent how spatially and temporally close the pedestrian-vehicle conflict is to a collision.
The results of analysis showed a high exposure of pedestrians to traffic conflict both inside and outside the crosswalk and relatively risking behavior of right-turn vehicles around the corner.
The findings demonstrate that UAV can support intersection safety analysis in an accurate and cost-effective way.
American Psychological Association (APA)
Chen, Peng& Zeng, Weiliang& Yu, Guizhen& Wang, Yunpeng. 2017. Surrogate Safety Analysis of Pedestrian-Vehicle Conflict at Intersections Using Unmanned Aerial Vehicle Videos. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1170773
Modern Language Association (MLA)
Chen, Peng…[et al.]. Surrogate Safety Analysis of Pedestrian-Vehicle Conflict at Intersections Using Unmanned Aerial Vehicle Videos. Journal of Advanced Transportation No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1170773
American Medical Association (AMA)
Chen, Peng& Zeng, Weiliang& Yu, Guizhen& Wang, Yunpeng. Surrogate Safety Analysis of Pedestrian-Vehicle Conflict at Intersections Using Unmanned Aerial Vehicle Videos. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1170773
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170773