This paper discusses the implementation of automated obstacle detection to British level crossings to improve safety and efficiency, reduce costs and analyse how successful this could be. There are over 6000 level crossings in Britain, and they are the largest single risk to the railways; one method to improve their safety is by introducing automated obstacle detection. Over the last ten years, there have been, on average, nine deaths a year at level crossings (Rail Safety and Standards Board in Annual safety performance report. Rail Safety and Standards Board Limited, SL, 2016) (excluding suicides), making them a high priority for Network Rail to improve. Obstacle detection would not just help improve the safety of level crossings, but it could also reduce the costs associated with level crossing signallers and operators and would lower the waiting times for road vehicles and pedestrians. With research also being done into the future possibility of introducing autonomous trains to the British railways, the combination of this and the obstacle detection system proposed could see a large improvement in safety across the level crossings.
|Title of host publication||Sustainable Rail Transport|
|Subtitle of host publication||Proceedings of RailNewcastle 2017|
|Editors||Anna Fraszczyk, Marin Marinov|
|Publication status||Published - 20 Jun 2018|
|Name||Sustainable Rail Transport|
Bibliographical note© Springer International Publishing AG, part of Springer Nature 2019
Dent, M., & Marinov, M. (2018). Introducing Automated Obstacle Detection to British Level Crossings. In A. Fraszczyk, & M. Marinov (Eds.), Sustainable Rail Transport: Proceedings of RailNewcastle 2017 (pp. 37-80). (Sustainable Rail Transport). Springer. https://doi.org/10.1007/978-3-319-78544-8_3