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Customizable and Jointly Optimized Route Planning: A Deep Architecture Enabling Differentiable Shortest-Path Search

arXiv · Artificial Intelligence · article · Sep 17, 2026 · UTC

With the widespread use of online navigation and ride-hailing services, achieving optimal route planning for diverse user preferences has recently attracted increasing attention. Classic graph algorithms for pathfinding use heuristic cost functions to define edge weight, thus providing no optimality guarantee of route quality. Prior data-driven approaches equating ground truth of the optimal route with user trajectory, which is however moderately influenced by the navigation service, suffers from the feedback loop problem. To address these issues, we propose a deep architecture that is able to

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-09-17T10:04:56.000Z
arXiv · Artificial Intelligence · 2026-09-17T10:04:56.000Z

First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.