Mehmet Emre Görgülü, M.Sc.
- Research Assistant
- room: R304
CS 10.30 - phone: +49 721 608-43048
- emre goerguelue ∂ kit edu
Education and Work Experience
since 08/2021 |
Research Assistant at the Institute for Transport Studies at KIT |
04/2018 –07/2021 | Master’s degree in Industrial Engineering and Management at KIT |
05/2020 –07/2020 | Intern in strategy consulting (Volkswagen Consulting) |
02/2019 –05/2019 | Intern in Audit/Assurance (PwC AG, Istanbul) |
09/2018 –01/2019 | Study abroad at Marmara University (Istanbul) |
10/2014 –03/2018 | Bachelor’s degree in Industrial Engineering and Management at KIT |
03/2018 –09/2018 | Intern in driver assistance systems (Daimler AG) |
08/2016 –11/2016 | Intern at a startup in lab automation (Labforward GmbH) |
Research
- Agent-based Travel Demand Modeling
- Commercial and Freight Transport
- Autonomous Driving
Teaching
- Exam Organization
- Strategic Transport Planning
- Mobility services and new forms of mobility
- Paris Excursion 2024
Memberships
- German Association for Road and Transportation Research (FGSV): Member of the Working Group 1.8.3 - Survey methods and data on commercial transport
Project Titel | Funding | Start | End |
---|---|---|---|
regioKArgoTramTrain: Further Development and Operational Implementation of Sustainable Combined Passenger and Freight Transport on Public Rail | Europäischer Fonds für regionale Entwicklung (EFRE), Land Baden-Württemberg |
2023 |
2027 |
Accompanying Research of automated minibuses in Monheim | Stadt Monheim |
2021 |
2023 |
LogIKTram - Logistics Concept and ICT Platform for Urban Rail-based Freight Transport | Bundesministerium für Wirtschaft und Energie (BMWi) |
2021 |
2024 |
Accompanying Research fips | Rhein-Neckar-Verkehr GmbH (rnv) |
2021 |
2024 |
RABus - Living Lab for an Automated Bus Service Operating as Part of Public Transport in Rural and Urban Areas | Ministerium für Verkehr Baden-Württemberg |
2020 |
2024 |
Publications
Barthelmes, L.; Görgülü, M. E.; Kagerbauer, M. (2024). Wissenschaftliche Begleitung der Easy-Mile-Busse in Monheim am Rhein - Ergebnisbericht. doi:10.5445/IR/1000169630
Barthelmes, L.; Görgülü, M. E.; Kagerbauer, M.; Vortisch, P. (2024). Data collection for microscopic modelling of urban parcel transport to and from establishments – empirical insights into city logistics in the region of Karlsruhe, Germany. Journal of Urban Mobility, 6, Art.-Nr.: 100085. doi:10.1016/j.urbmob.2024.100085
Barthelmes, L.; Kübler, J.; Görgülü, M. E.; Kagerbauer, M.; Vortisch, P. (2024). Integrated Agent-Based Modeling and Simulation Framework for Urban Parcel Shipments to and from Establishments. 103rd Transportation Research Board Annual Meeting, Washington D.C., January 7-11, 2024.
Görgülü, M. E.; Barthelmes, L.; Kagerbauer, M. (2024). Accompanying Research on Automated Minibusses in Monheim am Rhein : Report on Results. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170289
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P. (2023). Modellbasierte Ermittlung von verkehrlichen Potentialen eines stadtbahnbasierten Gütertransports im Projekt LogIKTram in Karlsruhe. Journal für Mobilität und Verkehr, 16, 50–58. doi:10.34647/jmv.nr16.id103
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P. (2023). Microscopic Agent-Based Parcel Demand Model for the Simulation of CEP-Based Urban Freight Movements to and from Companies. Advances in Resilient and Sustainable Transport – Proceedings of the 6th Interdisciplinary Conference on Production, Logistics and Traffic 2023. Ed.: U. Clausen, 75–92, Springer International Publishing. doi:10.1007/978-3-031-28236-2_6
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P. (2023). Agent-Based Model for the In- and Outgoing Parcel Quantities of Companies in an Urban Area. 102nd Transportation Research Board Annual Meeting, Washington D.C., January 8-12, 2023.
Kübler, J.; Barthelmes, L.; Görgülü, M. E.; Kagerbauer, M.; Vortisch, P. (2023). Modeling Relations Between Companies and CEP Service Providers in an Agent-Based Demand Model using Open-Source Data. Procedia Computer Science, 220, 486–494. doi:10.1016/j.procs.2023.03.062