Simulation of Demand Responsive Transport using a dynamic scheduling tool
summary
A Python scheduler called drtOnline.py (included in SUMO since 1.9.0) dynamically dispatches shared DRT using TraCI for rerouting and an integrated LP solver to call a DARP solver (default Alonso‑Mora method with a timeout). A Brunswick demo runs 6–10am with 50 vehicles, 6 seats, 956 requests from 758 people; max 46 vehicles used, some requests remain unserved, average sim 95 minutes, most pickups meet a 15‑minute wait but congestion causes occasional breaches and long solve times.
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