Demand Responsive Transit (DRT) simulation platform developed as graduate research at Korea National University of Transportation. The system evaluates dispatch, routing, and passenger-matching strategies under real-world service constraints — supporting smart mobility analysis and policy comparison.

Research focus

• Event-driven architecture: vehicle/passenger lifecycles, schedulers, orchestrators, routing modules
• Modular dispatch strategies: insertion heuristics, auction-based matching, genetic routing, learning-based policy evaluation
• Reproducible experiments via MLflow and Ray for distributed parameter sweeps

Metrics produced

Wait time, detour, service rate, vehicle utilization, and route efficiency — extracted for transportation decision-making and comparative strategy analysis.