Tuning Trains Speed in Railway Scheduling
\'Etienne Andr\'e

TL;DR
This paper introduces a formal modeling and verification approach for railway scheduling that accounts for uncertain train speeds, enabling the synthesis of safe segment durations using parametric timed automata.
Contribution
It presents a novel formal translation of railway scheduling with uncertain speeds into parametric timed automata and demonstrates its application on benchmarks.
Findings
Successful synthesis of segment durations for benchmarks
Effective modeling of uncertain train speeds
Verification of safety constraints in scheduling
Abstract
Railway scheduling consists in ensuring that a set of trains evolve in a shared rail network without collisions, while meeting schedule constraints. This problem is notoriously difficult, even more in the case of uncertain or even unknown train speeds. We propose here a modeling and verification approach for railway scheduling in the presence of uncertain speeds, encoded here as uncertain segment durations. We formalize the system and propose a formal translation to parametric timed automata. As a proof of concept, we apply our approach to benchmarks, for which we synthesize using IMITATOR suitable valuations for the segment durations.
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Taxonomy
MethodsSparse Evolutionary Training
