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The author developed a software tool to plan and execute optimal running routes covering all trails in a given area, leveraging algorithms like the Chinese postman problem and data from OpenStreetMap and Strava.
This paper proposes a temporal planning framework for dynamic route optimization and disruption management in heterogeneous multi-gauge railway systems. It formulates railway operations as a temporal planning problem using PDDL 2.1, generates conflict-free timestamped operational plans, and reduces reliance on manual decision-making, evaluated on benchmark problems with up to 1,000 track points and 120 trains.
A user reports that Claude is excellent at generating optimized travel routes on Google Maps, personalizing directions for walking, driving, or taxi, and found it perfect for planning a trip to Tokyo.