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Autonomous vehicles, urban shuttle services, traffic simulation, emissions
Abstract
In SimSAEV, the partners aim to identify environmental and socioeconomic effects of shared autonomous electric vehicles (SAEVs), as wells as synergies and trade-offs between them. For this purpose, an agent-based traffic simulation of Vienna is extended with a module that allows the inclusion of SAEVs in the simulation of scenarios. The project will support the formation of transport policies that lead to a reduction in CO2 emissions, while maintaining an efficient and inclusive transport system.
Methods
The agent-based MATSim model is used to represent the complex interactions between the transportation system, socioeconomic factors and environmental factors. Several scenarios that differ in their assumption concerning SAEV technology, SAEV market structure, consumer preferences, and policy interventions are simulated. The scenarios are assessed in regards of traffic indicators but also global and local emissions.
Results
One main result is the publication in which the setup of the MATSim simulation for Vienna is explained. A first glimpse into the scenario outputs was presented at the 100th Annual Meeting of the TRB. Further publications about emissions impacts are currently in progress.