Beyond Shortest Path: Routes That Understand You
GPS apps nail the fastest route, but miss real-life context: pick up meds, avoid school zones, or grab a coffee before it closes.
PAVe (Personalized Agentic Vehicular Routing) adds that missing layer. It pairs proven pathfinding with an AI agent that understands your tasks and preferences. First, it computes candidate routes using a multi-objective Dijkstra (time and CO2). Then an LLM reasons over your instructions and a city POI cache to choose and tweak the best route.
- “Pick up prescription, then daycare, avoid tolls.”
- “Find an EV charger with minimal detour.”
- “Drive-thru stop before 9 pm.”
In realistic urban tests, PAVe aligned complex intent with route changes, hitting over 88% accuracy in initial picks using a local model.
Takeaway: blending classical routing with semantic reasoning can deliver personalized, adaptive navigation at scale.
Paper: http://arxiv.org/abs/2511.04464v1
Paper: http://arxiv.org/abs/2511.04464v1
Register: https://www.AiFeta.com
AI Mobility Routing Navigation SmartCities LLM Transportation Sustainability
