Active Warning System for Highway-Rail Grade Crossings Using Connected Vehicle Technologies
Joint Authors
Wang, Xu
Li, Jiangchen
Zhang, Can
Qiu, Tony Z.
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Highway-rail grade crossing (HRGC) collisions are a significant safety concern around the world.
HRGC collisions have a high risk of injuries and fatalities.
To mitigate that risk, safety countermeasures for both active and passive HRGCs have been implemented.
Leveraging the latest developments in connected vehicle (CV) technologies, CV-based warning systems perform well in safety applications for roadway networks.
However, few have been developed to focus on safety improvements specifically for HRGCs.
To bridge this gap, this paper proposes a novel active warning system that was created with readily available CV technologies and devices.
A crossing risk assessment model was developed and evaluated in simulation and field applications.
The proposed model predicts the crossing risk probabilities in the near future.
When road users are in great risk of a collision, the warning system sends out auditory and visual alerts and displays the estimated waiting time.
The test results reveal that the proposed warning system is promising for field implementation to improve safety at grade crossings.
American Psychological Association (APA)
Wang, Xu& Li, Jiangchen& Zhang, Can& Qiu, Tony Z.. 2019. Active Warning System for Highway-Rail Grade Crossings Using Connected Vehicle Technologies. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1169754
Modern Language Association (MLA)
Wang, Xu…[et al.]. Active Warning System for Highway-Rail Grade Crossings Using Connected Vehicle Technologies. Journal of Advanced Transportation No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1169754
American Medical Association (AMA)
Wang, Xu& Li, Jiangchen& Zhang, Can& Qiu, Tony Z.. Active Warning System for Highway-Rail Grade Crossings Using Connected Vehicle Technologies. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1169754
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169754