Agentic AI for Trip Planning Optimization Application

This research introduces an agentic AI framework to optimize trip planning for intelligent vehicles, moving beyond mere feasibility to consider dynamic factors like traffic and energy. It employs an orchestration agent coordinating specialized agents and provides a new dataset for objective evaluation, achieving significant accuracy on the TOP Benchmark.