Analysis and Modelling of Road Traffic Using SUMO to Optimize the Arrival Time of Emergency Vehicles
summary
Microscopic simulation using SUMO with QGIS Excel and Python reproduces Mörfelder Landstraße (3.3 km, five junctions) and calibrates OD matrices from induction loops; ten ambulances run under baseline, 300 m trigger, and computed-distance prioritization. The 300 m rule yields the largest average reductions in trip time and delay, while the computed dynamic distance often underperforms because it is shorter than 300 m. Tram signal interactions cause large outliers (one ambulance sees 439 s delay without priority). Data span June 2020–Mar 2021 (pandemic), so post‑pandemic revalidation is needed.
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chapters (8)
- 0:00Start
- 0:21Objective
- 1:39Data Flow Diagram
- 3:28Solution Methodology (cont.)
- 4:15Emergency Vehicle Prioritization Study Area
- 4:39Case Scenarios
- 6:06Simulation Demo
- 9:36Aggregated Results
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