Mainline Automatic Train Horn and Brake Performance Metric
Rustam Tagiew

TL;DR
This paper proposes a new mainline rail-specific performance metric for onboard perception systems, focusing on obstacle detection, to improve safety and system comparison.
Contribution
It introduces a novel obstacle detection submetric for rail perception systems, aiding system comparison and accident prediction in operational domains.
Findings
Preliminary obstacle detection submetric proposed
Facilitates comparison of perception systems
Aims to predict accident likelihood
Abstract
This paper argues for the introduction of a mainline rail-oriented performance metric for driver-replacing on-board perception systems. Perception at the head of a train is divided into several subfunctions. This article presents a preliminary submetric for the obstacle detection subfunction. To the best of the author's knowledge, no other such proposal for obstacle detection exists. A set of submetrics for the subfunctions should facilitate the comparison of perception systems among each other and guide the measurement of human driver performance. It should also be useful for a standardized prediction of the number of accidents for a given perception system in a given operational design domain. In particular, for the proposal of the obstacle detection submetric, the professional readership is invited to provide their feedback and quantitative information to the author. The analysis…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRailway Engineering and Dynamics · Safety Warnings and Signage · Vehicle emissions and performance
