A Temporal Planning Framework for Disruption Aware Dynamic Route Optimization in Heterogeneous Railway Systems
arXiv:2606.14582v1 Announce Type: new Abstract: Efficient route optimization play a vital role in ensuring both safety and punctuality in railway operations. It is very crucial particularly in heterogeneous multi-gauge railway networks with varying train speed, stopping pattern, infrastructure compatibility constraints increase coordination complexity. In single-track systems these challenges are further intensify due to all trains to share the same track and requires frequent track switching.Stochastic disruptions events including blocked tracks, blocked trains, engine failure and speed slowd
The increasing complexity of modern railway networks and the imperative for efficiency and safety are driving the development of advanced optimization frameworks, particularly with the advent of AI capabilities.
Efficient and robust route optimization in critical infrastructure like railway systems directly impacts economic output, supply chain resilience, and public safety, making advancements in this area significant for strategic planning.
This framework introduces a more dynamic and resilient approach to railway operations by proactively handling disruptions, moving beyond static scheduling to adaptive, real-time optimization.
- · Railway operators
- · Logistics companies
- · AI software providers
- · Infrastructure owners
- · Traditional static scheduling software vendors
- · Inefficient rail systems
- · Manual dispatching processes
Improved punctuality and safety in complex railway networks, reducing delays and operational costs.
Increased capacity utilization of existing railway infrastructure, potentially delaying the need for costly new physical expansions.
Enhanced resilience of national transportation grids, creating a more robust supply chain and economic backbone immune to local disruptions.
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Read at arXiv cs.AI