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Autonomous Ride-Poooling in Hamburg - Results from an Integrated Travel Demand and Fleet Simulation Model

Wilkes, Gabriel; Engelhardt, Roman; Kostorz, Nadine; Dandl, Florian; Vortisch, Peter; Bogenberger, Klaus; Kagerbauer, Martin


More and more mobility services are appearing on the market that provide customers with a good alternative to private cars through demand-responsive offerings. Since the impact of these services is not always positive, hopes are currently pinned on ride-pooling. Currently, the effects of these bundled trips on the transportation system is limited due to e.g., to small fleets. As drivers account for a large proportion of operating costs, an automated fleet holds great potential for cost reduction and hence a large-scale roll-out. In this study, the traffic effects of an automated ride-pooling service are investigated using the city of Hamburg, Germany as an example. For this purpose, an agent-based travel demand model (mobiTopp) is coupled with a fleet simulation to model the demand and supply sides in detail, respectively. Simulations show that a reduction of fares and a larger service area as well as a larger fleet help to decrease the total vehicle kilometers traveled of private vehicles and mobility services combined. The ride-pooling demand increases by factor while fleet performance indicators improve: The empty mileage decreases from 28.7% to 15.9% and the vehicle occupancy increases from 1.3 to 1.7. ... mehr

Zugehörige Institution(en) am KIT Institut für Verkehrswesen (IFV)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2022
Sprache Englisch
Identifikator KITopen-ID: 1000142738
Erschienen in 101st Transportation Research Board Annual Meeting, Washington D.C., January 9-13, 2022
Veranstaltung 101st Annual Meeting Transportation Research Board (TRB 2022), Washington, DC, USA, 09.01.2022 – 13.01.2022
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