%0 Conference Paper %1 10.1007/978-3-031-23721-8_9 %A Iacobucci, Riccardo %A Pruckner, Marco %A Schmöcker, Jan-Dirk %B Smart Energy for Smart Transport %C Cham %D 2023 %E Nathanail, Eftihia G. %E Gavanas, Nikolaos %E Adamos, Giannis %I Springer Nature Switzerland %K myown pruckner %P 115--124 %T A Large Scale Simulation of the Electrification Effects of SAVs %X Shared autonomous electric vehicles (SAEVs) are expected to soon revolutionize the transport system, with cheap and convenient taxi-like services. SAEVs can induce a significant modal shift from other modes of travel, with effects ranging from beneficial, like reducing private car use, to negative, like making public transport uneconomical and increasing congestion. This modal shift will also be influenced by electrification, as charging time and range limitations will influence availability of these vehicles. In this work, we expand a SAEV simulationIacobucci, R.Pruckner, M.Schmöecker, J.-D. model with mode choice to incorporate electric vehicles. In our model travelers choose between their current mode and SAEVs, which in addition to the fare, has a waiting time which depends on the real-time demand and fleet availability. We use a trip generation model based on a large person trip survey from Germany as our input data and scale-up the survey to obtain an OD matrix for the whole wider Munich area on a 1 km\$\$^2\$\$2mesh area and representing instances of all trips in the city. As the basis for our extension, we build on a previously published efficient and scalable simulation model. Thanks to its scalability, we are able to perform our simulation with the resulting 4.6 million trips per day over a whole week. We study the effect of electrification on modal shift considering different battery capacities and charging station numbers. We will show at what level of these three decision variables the impact of electrification is negligible compared to our previous results with (non-electric) SAVs. %@ 978-3-031-23721-8

@inproceedings{10.1007/978-3-031-23721-8_9, abstract = {Shared autonomous electric vehicles (SAEVs) are expected to soon revolutionize the transport system, with cheap and convenient taxi-like services. SAEVs can induce a significant modal shift from other modes of travel, with effects ranging from beneficial, like reducing private car use, to negative, like making public transport uneconomical and increasing congestion. This modal shift will also be influenced by electrification, as charging time and range limitations will influence availability of these vehicles. In this work, we expand a SAEV simulationIacobucci, R.Pruckner, M.Schm{\"o}ecker, J.-D. model with mode choice to incorporate electric vehicles. In our model travelers choose between their current mode and SAEVs, which in addition to the fare, has a waiting time which depends on the real-time demand and fleet availability. We use a trip generation model based on a large person trip survey from Germany as our input data and scale-up the survey to obtain an OD matrix for the whole wider Munich area on a 1 km{\$}{\$}^2{\$}{\$}2mesh area and representing instances of all trips in the city. As the basis for our extension, we build on a previously published efficient and scalable simulation model. Thanks to its scalability, we are able to perform our simulation with the resulting 4.6 million trips per day over a whole week. We study the effect of electrification on modal shift considering different battery capacities and charging station numbers. We will show at what level of these three decision variables the impact of electrification is negligible compared to our previous results with (non-electric) SAVs.}, added-at = {2023-03-29T11:39:20.000+0200}, address = {Cham}, author = {Iacobucci, Riccardo and Pruckner, Marco and Schm{\"o}cker, Jan-Dirk}, biburl = {https://www.bibsonomy.org/bibtex/297d7d08681f93e403350d7c1a2b730f3/modsim}, booktitle = {Smart Energy for Smart Transport}, editor = {Nathanail, Eftihia G. and Gavanas, Nikolaos and Adamos, Giannis}, interhash = {8cd6396519ab2a396d200d8ed2de34c8}, intrahash = {97d7d08681f93e403350d7c1a2b730f3}, isbn = {978-3-031-23721-8}, keywords = {myown pruckner}, pages = {115--124}, publisher = {Springer Nature Switzerland}, timestamp = {2023-03-29T11:39:20.000+0200}, title = {A Large Scale Simulation of the Electrification Effects of SAVs}, year = 2023 }