Mobility simulation in Hamburg considering various capacities for the Elbe Tunnel

This paper presents the results of a mobility simulation study conducted for the city of Hamburg, Germany, using the MATSim software. The study aims to evaluate the impact of various capacities for the Elbe Tunnel on the total travel time and waiting time of people using different modes of transportation, including private and shared cars, buses, regional trains, underground, and ferries. The study also assesses the total amount of CO2 emissions released by these modes of transportation. To conduct the simulation, we investigate a scenario-based model that considers different capacities for the Elbe Tunnel, i.e., the most significant chokepoint of the city’s road system, changing the current capacity by considerably different percentages. The model includes data on the demand for transportation, road and traffic networks, and emission factors for different types of vehicles. The simulation is run for a 24-hour period, and the results are analysed using different performance indicators.