Dr.-Ing. 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

Publikationen

  • Denk, Florian; Himmels, Chantal; Andreev, Vladislav; Lindner, Johannes; Syed, Arslan Ali; Riener, Andreas; Huber, Werner; Kates, Ronald: 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…
  • Sekeran, Maya; Syed, Arslan Ali; Lindner, Johannes; Margreiter, Martin; Bogenberger, Klaus: Investigating Lane-Free Traffic with a Dynamic Driving Simulator. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2023 mehr…
  • Himmels, Chantal; Andreev, Vladislav; Syed, Arslan Ali; Lindner, Johannes; Denk, Florian; Riener, Andreas: 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…
  • Bachmann, Frederik R.; Dandl, Florian; Syed, Arslan Ali; Engelhardt, Roman; Bogenberger, Klaus: Optimized Passenger Redirection During Incidents in Urban Public Transportation Systems. 102nd Annual Meeting of the Transportation Resarch Board (TRBAM), 2023 mehr…
  • Engelhardt, Roman; Dandl, Florian; Syed, Arslan-Ali; Zhang, Yunfei; Fehn, Fabian; Wolf, Fynn; Bogenberger, Klaus: FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand Services. arXiv, 2022 mehr…
  • Sekeran, Maya; Rostami-Shahrbabaki, Majid; Syed, Arslan Ali; Margreiter, Martin; Bogenberger, Klaus: Lane-Free Traffic: History and State of the Art. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2022 mehr…
  • Zhang, Yunfei; Engelhardt, Roman; Syed, Arslan-Ali; Dandl, Florian; Hardt, Cornelius; Bogenberger, Klaus: 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…
  • Syed, Arslan Ali; Dandl, Florian; Kaltenhäuser, Bernd; Bogenberger, Klaus: Density Based Distribution Model for Repositioning Strategies of Ride Hailing Services. Frontiers in Future Transportation 2, 2021 mehr…
  • Syed, Arslan Ali; Dandl, Florian; Bogenberger, Klaus: User-Assignment Strategy Considering Future Imbalance Impacts for Ride Hailing. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), IEEE, 2021 mehr…
  • Syed, Arslan Ali; Gaponova, Irina; Bogenberger, Klaus: 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…
  • Syed, Arslan Ali; Akhnoukh, Karim; Kaltenhaeuser, Bernd; Bogenberger, Klaus: Neural Network Based Large Neighborhood Search Algorithm for Ride Hailing Services. In: Progress in Artificial Intelligence. Springer International Publishing, 2019 mehr…
  • Syed, Arslan Ali; Kaltenhaeuser, Bernd; Gaponova, Irina; Bogenberger, Klaus: Asynchronous Adaptive Large Neighborhood Search Algorithm for Dynamic Matching Problem in Ride Hailing Services. 2019 IEEE Intelligent Transportation Systems Conference (ITSC), IEEE, 2019 mehr…