- Optimization of Autonomous Mobility on Demand Services based on Spatio-Temporal Relations. Dissertation, 2024 mehr…
- Studying Interactions of Motorists and Vulnerable Road Users: Empirical Comparison of Test Track and Simulator Experiments. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2023 mehr…
- Investigating Lane-Free Traffic with a Dynamic Driving Simulator. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2023 mehr…
- Are Head-mounted Displays Really Not Suitable for Driving Simulation? A Comparison with a Screen-Based Simulator. 2023 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2023 mehr…
- Optimized Passenger Redirection During Incidents in Urban Public Transportation Systems. 102nd Annual Meeting of the Transportation Resarch Board (TRBAM), 2023 mehr…
- FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand Services. arXiv, 2022 mehr…
- Lane-Free Traffic: History and State of the Art. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2022 mehr…
- Simulating Charging Processes of Mobility-On-Demand Services at Public Infrastructure: Can Operators Complement Each Other? 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2022 mehr…
- Density Based Distribution Model for Repositioning Strategies of Ride Hailing Services. Frontiers in Future Transportation 2, 2021 mehr…
- User-Assignment Strategy Considering Future Imbalance Impacts for Ride Hailing. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), IEEE, 2021 mehr…
- Neural Network-Based Metaheuristic Parameterization with Application to the Vehicle Matching Problem in Ride-Hailing Services. Transportation Research Record: Journal of the Transportation Research Board 2673 (10), 2019, 311-320 mehr…
- Neural Network Based Large Neighborhood Search Algorithm for Ride Hailing Services. In: Progress in Artificial Intelligence. Springer International Publishing, 2019 mehr…
- Asynchronous Adaptive Large Neighborhood Search Algorithm for Dynamic Matching Problem in Ride Hailing Services. 2019 IEEE Intelligent Transportation Systems Conference (ITSC), IEEE, 2019 mehr…
Dr.-Ing. Arslan Ali Syed
M.Sc. Arslan Ali Syed
Themenschwerpunkte
- Flottensteuerung und -optimierung
- Mikroskopische Verkehrssimulation
- Agenten-basierte Simulation
Curriculum Vitae
Berufserfahrung | |
| seit 2021 | Technische Universität München Lehrstuhl für Verkehrstechnik Wissenschaftlicher Mitarbeiter |
| 2017-2020 | BMW Group Promotion |
| 2015 - 2017 | Infineon Technologies Werkstudententätigkeit und Masterarbeit |
| 2015 - 2016 | Technische Universität München Lehrstuhl für Mikrotechnik und Medizingerätetechnik Werkstudententätigkeit |
Ausbildung | |
| 2014-2017 | MSc. Computational Sciences and Engineering Abschlussarbeit: Fast Quasi-Newton Method for Partitioned Analog Circuit Simulation in Time Domain Technische Universität München |
| 2008-2012 | BE Avionics Engineering National University of Sciences and Technology, Islamabad Pakistan |