8_Featured_publications_using_Fleetpy - TUM-VT/FleetPy GitHub Wiki
In this section, we provide a chronological list of journal and conference publications and relevant theses that have employed FleetPy. We distinguish between publications authored by researchers from the Chair of Traffic Engineering at the Technical University of Munich (TUM-VT) and those by external users. If you have a publication using FleetPy that is not included and would like to see it featured, please send us an email at [email protected] or [email protected]!
Publications with TUM-VT members as (co-)authors
TUM-VT authors are shown in italics.
- Engelhardt, Roman; Dandl, Florian; Syed, Arslan-Ali; Zhang, Yunfei; Fehn, Fabian; Wolf, Fynn; Bogenberger, Klaus (2022): FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand Services. DOI: https://doi.org/10.48550/arXiv.2207.14246
- Zhang, Yunfei; Engelhardt, Roman; Syed, Arslan-Ali; Dandl, Florian; Hardt, Cornelius; Bogenberger, Klaus (2022): Simulating Charging Processes of Mobility-On-Demand Services at Public Infrastructure: Can Operators Complement Each Other?. In IEEE ITSC, DOI: https://doi.org/10.1109/ITSC55140.2022.9922449
- Engelhardt, Roman; Dandl, Florian; Bogenberger, Klaus (2022): Simulating Ride-Pooling services with pre-booking and on-demand customers. Available at: https://arxiv.org/pdf/[2210.06972](https://arxiv.org/pdf/2210.06972)
- Dandl, Florian (2022): Operation and Regulation of Autonomous Mobility-on-Demand Systems (PhD Thesis; TU Munich). Available at: https://mediatum.ub.tum.de/1639389)
- Zwick, Felix; Wilkes, Gabriel; Engelhardt, Roman; Axer, Steffen; Dandl, Florian; Rewald, Hannes; Kostorz, Nadine; Fraedrich, Eva; Kagerbauer, Martin; Axhausen, Kay W (2022): Mode choice and ride-pooling simulation: A comparison of mobiTopp, Fleetpy, and MATSim. In Procedia Computer Science. DOI: https://doi.org/10.1016/j.procs.2022.03.079
- Syed, Arslan-Ali; Fischer, Markus; Hardt, Cornelius; Bogenberger, Klaus (2022): Charge Point Search Policies for EVs - Minimizing The Cruise for Juice. In IEEE ITSC, DOI: https://doi.org/10.1109/ITSC55140.2022.9921802
- Fehn, Fabian; Engelhardt, Roman; Dandl, Florian; Bogenberger, Klaus; Busch, Fritz (2023): Integrating parcel deliveries into a ride-pooling service—An agent-based simulation study. In Transportation Research Part A: Policy and Practice 169, p. 103580. DOI: https://doi.org/10.1016/j.tra.2022.103580.
- Syed, Arslan-Ali; Zhang, Yunfei; Bogenberger, Klaus (2023): Data-driven Spatio-Temporal Scaling of Travel Times for AMoD Simulations. In IEEE ITSC, DOI: https://doi.org/10.1109/ITSC57777.2023.10422313
- Wolf, Fynn; Engelhardt, Roman; Zhang, Yunfei; Dandl, Florian; Bogenberger, Klaus (2023): Effects of Dynamic and Stochastic Travel Times on the Operation of Mobility-on-Demand Services. In IEEE ITSC, DOI: https://doi.org/10.1109/ITSC57777.2023.10422554
- Fehn, Fabian (2024): Ride Parcel Pooling – Sustainable Integration of Parcel Services into Mobility-on-Demand Systems (PhD Thesis; TU Munich). In https://mediatum.ub.tum.de/?id=1735024
- Ruijter, A.J.F; Dandl, Florian; Engelhardt, Roman; Bogenberger, Klaus; Geržinič, Nejc; van Lint, Hans; Cats, Oded (2024): Two-Sided Dynamics in Duopolistic Ridesourcing Markets with Private and Pooled Rides. Preprint. Available at SSRN: https://dx.doi.org/10.2139/ssrn.4963907
- Álvarez-Ossorio Martínez, Santiago; Dandl, Florian; Bogenberger, Klaus (2024): Analyzing the Effects of Pick-Up and Drop-Off (PUDO) Duration and its Stochasticity on Mobility-On-Demand Services. In TRB 2025 Annual Meeting. No public access yet.
- Ding, Chenhao; Dandl, Florian; Bogenberger, Klaus (2024): Predicting Offers for Mobility-on-Demand Services: A Machine Learning–Based Approach. In TRB 2025 Annual Meeting. No public access yet. Available at: https://mediatum.ub.tum.de/doc/1765899/1765899.pdf
- Engelhardt, Roman (2024): Autonomous Ride-Pooling-Services in Urban Environments: Operational Strategies and Simulation (PhD Thesis; TU Munich). Available at: https://mediatum.ub.tum.de/1755168
- Ng, Max T.M.; Engelhardt, Roman; Dandl, Florian; Volakakis, Vasileios; Mahmassani, Hani S.; Bogenberger, Klaus (2024). Semi-on-Demand Off-Peak Transit Services with Shared Autonomous Vehicles — Service Planning, Simulation, and Analysis in Munich, Germany. Preprint. Available at: https://doi.org/10.48550/arXiv.2408.10547
- Ng, Max T.M.; Mahmassani, Hani S.; Verbas, Ömer; Cokyasarb, Taner; Engelhardt, Roman (2024): Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services. In Transportation Research Part C. DOI: https://doi.org/10.1016/j.trc.2024.104575
External Publications
- Schröder, Daniel; Kaspi, Mor (2024): Quantifying the external costs of autonomous on-demand ride pooling services. In Case Studies on Transport Policy 18, DOI: https://doi.org/10.1016/j.cstp.2024.101302
- Wang, Yiming (2024): Assessing the impacts of fleet sizing and matching strategies for Shared Automated Vehicles (SAVs) in mixed mobility systems using an agent-based simulation approach (Master Thesis; TU Delft). Link: https://resolver.tudelft.nl/uuid:4fe4a285-973a-4722-ab95-8c80bb33869c
- Ruijter, A.J.F (2024): Two-Sided Dynamics in Ridesourcing Markets (PhD Thesis; TU Delft) DOI: https://doi.org/10.4233/uuid:dee95ae4-0be9-4cd0-a90f-ef7d7f8a8653
- Yasa, Doga; Tangirala, Nagacharan Teja; Koll, Allois (2024): Analysis of Heterogeneous Fleets with Autonomous and Human-Driven Vehicles. In IEEE ITSC, DOI: https://doi.org/10.1109/ITSC58415.2024.10919607.