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Roman Engelhardt
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2020 – today
- 2024
- [i12]Elena Natterer, Roman Engelhardt, Sebastian Hörl, Klaus Bogenberger:
Graph Neural Network Approach to Predict the Effects of Road Capacity Reduction Policies: A Case Study for Paris, France. CoRR abs/2408.06762 (2024) - [i11]Max T. M. Ng, Roman Engelhardt, Florian Dandl, Vasileios Volakakis, Hani S. Mahmassani, Klaus Bogenberger:
Semi-on-Demand Off-Peak Transit Services with Shared Autonomous Vehicles - Service Planning, Simulation, and Analysis in Munich, Germany. CoRR abs/2408.10547 (2024) - 2023
- [c8]Fynn Wolf, Roman Engelhardt, Yunfei Zhang, Florian Dandl, Klaus Bogenberger:
Effects of Dynamic and Stochastic Travel Times on the Operation of Mobility-on-Demand Services. ITSC 2023: 5476-5481 - [i10]Max T. M. Ng, Hani S. Mahmassani, Ismail Ömer Verbas, Taner Cokyasar, Roman Engelhardt:
Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services. CoRR abs/2307.16075 (2023) - [i9]Roman Engelhardt, Hani S. Mahmassani, Klaus Bogenberger:
Predictive Vehicle Repositioning for On-Demand Ride-Pooling Services. CoRR abs/2308.05507 (2023) - [i8]Fynn Wolf, Roman Engelhardt, Yunfei Zhang, Florian Dandl, Klaus Bogenberger:
Effects of Dynamic and Stochastic Travel Times on the Operation of Mobility-on-Demand Services. CoRR abs/2308.05535 (2023) - 2022
- [c7]Felix Zwick
, Gabriel Wilkes, Roman Engelhardt
Mode choice and ride-pooling simulation: A comparison of mobiTopp, Fleetpy, and MATSim. ANT/EDI40 2022: 608-613 - [c6]Yunfei Zhang, Roman Engelhardt, Arslan Ali Syed, Florian Dandl
Simulating Charging Processes of Mobility-On-Demand Services at Public Infrastructure: Can Operators Complement Each Other? ITSC 2022: 2200-2205 - [c5]Alexander Kutsch, Martin Margreiter, Philipp N. Stueger, Fabian Fehn, Barbara Metzger, Lisa Hamm, Roman Engelhardt, Mario Ilic, Klaus Bogenberger:
TEMPUS - Test Field Munich - Pilot Test for Urban Automated Road Traffic. ITSC 2022: 2514-2519 - [i7]Roman Engelhardt, Patrick Malcolm, Florian Dandl, Klaus Bogenberger:
Competition and Cooperation of Autonomous Ridepooling Services: Game-Based Simulation of a Broker Concept. CoRR abs/2205.04319 (2022) - [i6]Fabian Fehn, Roman Engelhardt
Integrating Parcel Deliveries into a Ride-Pooling Service - An Agent-Based Simulation Study. CoRR abs/2205.04718 (2022) - [i5]Roman Engelhardt
FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand Services. CoRR abs/2207.14246 (2022) - [i4]Roman Engelhardt, Florian Dandl, Klaus Bogenberger:
Simulating Ride-Pooling Services with Pre-Booking and On-Demand Customers. CoRR abs/2210.06972 (2022) - 2021
- [c4]Fabian Fehn, Roman Engelhardt
Ride-Parcel-Pooling - Assessment of the Potential in Combining On-Demand Mobility and City Logistics. ITSC 2021: 3366-3372 - [c3]Florian Dandl
On the Dynamism of User Rejections in Mobility-on-Demand Systems. ITSC 2021: 3399-3404 - [c2]Roman Engelhardt
Benefits of Flexible Boarding Locations in On-Demand Ride-Pooling Systems. MT-ITS 2021: 1-6 - [i3]Florian Dandl, Roman Engelhardt, Michael Hyland, Gabriel Tilg, Klaus Bogenberger, Hani S. Mahmassani:
Regulating Mobility-on-Demand Services: Tri-level Model and Bayesian Optimization Solution Approach. CoRR abs/2102.10382 (2021) - [i2]Florian Dandl, Roman Engelhardt, Klaus Bogenberger:
On the Dynamism of User Rejections in Mobility-on-Demand Systems. CoRR abs/2104.01326 (2021) - 2020
- [i1]Roman Engelhardt, Florian Dandl, Klaus Bogenberger:
Speed-up Heuristic for an On-Demand Ride-Pooling Algorithm. CoRR abs/2007.14877 (2020)
2010 – 2019
- 2019
- [c1]Roman Engelhardt
Quantifying the Benefits of Autonomous On-Demand Ride-Pooling: A Simulation Study for Munich, Germany. ITSC 2019: 2992-2997
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