Collision risk analysis based train collision early warning strategy
A Train Collision Early Warning System (TCEWS) has been developed for collision avoidance. However, there are few studies regarding how to evaluate the collision risk and provide an early warning concerning a preceding train on the railway. In this paper, the authors have found that the time for collision avoidance is constrained by the timing of events, such as wireless communication latency, driver reaction, safety protection distance and deceleration rate. Considering these timing components, the time to avoid a collision is calculated accurately. To evaluate the potential collision severity when the following train approaches, the collision risk is defined based on the time to avoid a collision. The train collision early warning signal is divided into a four-tier color-coded system based on the collision risk, with red representing the most severe collision risk, followed by orange, yellow and blue. A field test of the train collision early warning strategy on the Hankou–Yichang Railway is analysed. It is demonstrated that the strategy has sufficient capability to indicate a potential collision and warn the following train.
- Record URL:
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
-
Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
-
Authors:
- Li, Si-Hui
- Cai, Bai-Gen
- Liu, Jiang
- Wang, Jian
- Publication Date: 2018-3
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 94-104
-
Serial:
- Accident Analysis & Prevention
- Volume: 112
- Publisher: Elsevier
- ISSN: 0001-4575
- Serial URL: http://www.sciencedirect.com/science/journal/00014575
Subject/Index Terms
- TRT Terms: Crash avoidance systems; Railroad crashes; Railroad safety; Risk analysis; Warning systems
- Identifier Terms: Train collision early warning system (TCEWS)
- Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors;
Filing Info
- Accession Number: 01659785
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 12 2018 10:01AM