Lukas Barthelmes, M.Sc.

Lukas Barthelmes, M.Sc.

Education and Work Experience

since
10/2019
Research Assistant at the Institute for Transport Studies at KIT
04/2017 – 09/2019 Master’s degree in Industrial Engineering and Management at KIT
10/2018 – 03/2019 Internship abroad in a research-related consulting institution in Suzhou, China
04/2018 – 08/2018 Internship in strategy consulting at Deutsche Bahn (DB Management Consulting)
03/2016 – 09/2017 Internship and student trainee at Robert Bosch GmbH in Karlsruhe, Germany
08/2015 – 12/2015 Study abroad at the University Consortium of Pori, Finland
10/2013 – 03/2017 Bachelor’s degree in Industrial Engineering and Management at KIT

Research

  • Microscopic Travel Demand Modelling
  • Freight Transport

Teaching

  • Sustainability in Mobility Systems
  • Long-distance and Air Traffic

Memberships

  • German Association for Road and Transportation Research (FGSV): Member of the Working Group 1.8.3 - Survey methods and data on commercial transport
  • Member of the German Association of Transport Sciences (DVWG)

Research Projects

Project Title Funding Start End

Stadt Monheim

2021

2023

KIT (KIT-CAMPUS, KIT-AServ)

2020

2021

Bundesministerium für Wirtschaft und Energie (BMWi)

2021

2024

European Commission under the Horizon Europe Partnership

Federal Ministry of Research, Technology and Space (BMFTR)

2025

2027

Ministerium für Verkehr BW

2019

2022

Europäischer Fonds für regionale Entwicklung (EFRE), Land Baden-Württemberg

2023

2027

Publications


Integrating establishments in an agent-based modeling framework for urban parcel shipments on the first and last mile
Barthelmes, L.; Kübler, J.; Görgülü, E.; Kagerbauer, M.; Vortisch, P.
2025. Procedia Computer Science, 257, 68–76. doi:10.1016/j.procs.2025.03.012
Modeling framework for the agent-based simulation of rail-based urban parcel transport: An application of a two-stage transport chain selection model in the city of Karlsruhe, Germany
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Löffler, A.; Kagerbauer, M.; Vortisch, P.
2025. Research in Transportation Business & Management, 59, 101306. doi:10.1016/j.rtbm.2025.101306
Personalized Day-Trip Planning: A TSP-TW-Based Multimodal Multicriteria Optimisation Approach
Wins, A.; Barthelmes, L.; Alpers, S.; Becker, C.; Kagerbauer, M.; Oberweis, A.
2024. Procedia Computer Science, 238, 352–360. doi:10.1016/j.procs.2024.06.035
Exploring the determinants of autonomous minibus adoption: empirical findings from a demand-based service in Germany
Barthelmes, L.; Wilkes, G.; Kagerbauer, M.; Vortisch, P.
2024. European Transport Research Review, 16 (1), Art.-Nr.: 35. doi:10.1186/s12544-024-00659-9
Workshop synthesis: Commercial trips patterns and demand for goods from firms and households
Gardrat, M.; Silva, J. de A.; Barthelmes, L.; Chlond, B.; Clifton, K.; Colaço, R.; Ciommo, F. D.
2024. Transportation Research Procedia, 76, 650–656. doi:10.1016/j.trpro.2023.12.087
Accompanying Research on Automated Minibusses in Monheim am Rhein : Report on Results
Görgülü, M. E.; Barthelmes, L.; Kagerbauer, M.
2024. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170289
Drivers and Barriers to Public Transport Usage: Insights from Psychographic Profiles Using Latent Class Analysis
Vallée, J.; Ecke, L.; Barthelmes, L.; Vortisch, P.
2024. Transportation Research Record: Journal of the Transportation Research Board, 2678 (10), 459–470. doi:10.1177/03611981241233580
Integrated Agent-Based Modeling and Simulation Framework for Urban Parcel Shipments to and from Establishments
Barthelmes, L.; Kübler, J.; Görgülü, M. E.; Kagerbauer, M.; Vortisch, P.
2024. 103rd Transportation Research Board Annual Meeting, Washington D.C., January 7-11, 2024
Mixed-method approach to compare travel surveys as preliminary work for individual matching
Behren, S. von; Chlond, B.; Barthelmes, L.; Heinze, A.; Vortisch, P.
2024. Transportation Research Procedia, 76, 429–444. doi:10.1016/j.trpro.2023.12.066
An open-source interactive travel diary for web-based trip reporting
Barthelmes, L.; Kübler, J.; Bönisch, L.; Kagerbauer, M.; Vortisch, P.
2024. Transportation Research Procedia, 76, 373–384. doi:10.1016/j.trpro.2023.12.062
Comparison of Discrete Choice and Machine Learning Models for Simultaneous Modeling of Mobility Tool Ownership in Agent-Based Travel Demand Models
Püschel, J.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P.
2024. Transportation Research Record: Journal of the Transportation Research Board, 2678 (7), 376–390. doi:10.1177/03611981231206175
Enhancing electric vehicle market diffusion modeling: A German case study on environmental policy integration
Cao Van, T. L.; Barthelmes, L.; Gnann, T.; Speth, D.; Kagerbauer, M.
2023. Energy Strategy Reviews, 50, Article no: 101244. doi:10.1016/j.esr.2023.101244
Decoding Urban Archetypes: Exploring Mobility-Related Homogeneity among Cities
Behren, S. von; Turek, M.; Barthelmes, L.; Scholta, H.; Hansen, F.; Kagerbauer, M.; Eisenmann, C.
2023. Sustainability, 15 (19), Article no: 14231. doi:10.3390/su151914231
Insights into public transit use in Berlin – The role of autonomy and public transit privacy
Barthelmes, L.; Behren, S. von; Magdolen, M.; Soylu, T.; Chlond, B.; Kagerbauer, M.
2023. 7th World Multidisciplinary Civil Engineering - Architecture - Urban Planning Symposium WMCAUS 2022, Article no: 190002, AIP Publishing. doi:10.1063/5.0170513
Wie wird in autonomen Fahrzeugen die Fahrzeit genutzt? – Ergebnisse einer Stated-Preference-Befragung
Wilkes, G.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P.
2023. Journal für Mobilität und Verkehr, (17), 27–34. doi:10.34647/jmv.nr17.id109
Modeling Relations Between Companies and CEP Service Providers in an Agent-Based Demand Model using Open-Source Data
Kübler, J.; Barthelmes, L.; Görgülü, M. E.; Kagerbauer, M.; Vortisch, P.
2023. Procedia Computer Science, 220, 486–494. doi:10.1016/j.procs.2023.03.062
Modellbasierte Ermittlung von verkehrlichen Potentialen eines stadtbahnbasierten Gütertransports im Projekt LogIKTram in Karlsruhe
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P.
2023. Journal für Mobilität und Verkehr, 16, 50–58. doi:10.34647/jmv.nr16.id103
Microscopic Agent-Based Parcel Demand Model for the Simulation of CEP-Based Urban Freight Movements to and from Companies
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P.
2023. 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
Simultaneous Modeling of Mobility Tool Ownership in Agent-Based Travel Demand Models: A Comparison of Discrete Choice and Machine Learning Models
Püschel, J.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P.
2023. 102nd Transportation Research Board Annual Meeting, Washington D.C., January 8-12, 2023
Agent-Based Model for the In- and Outgoing Parcel Quantities of Companies in an Urban Area
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P.
2023. 102nd Transportation Research Board Annual Meeting, Washington D.C., January 8-12, 2023
Representation of Work-Related Trip Patterns in Household and Commercial Travel Surveys
Reiffer, A.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P.
2022. Transportation research record, 2676 (11), 59–73. doi:1177/03611981221091559
The effects of spatial characteristics on car ownership and its impacts on agent-based travel demand models
Barthelmes, L.; Heilig, M.; Klinkhardt, C.; Kagerbauer, M.; Vortisch, P.
2022. Procedia Computer Science, 201, 296–304. doi:10.1016/j.procs.2022.03.040
Work-Related Trip Patterns in Household and Commercial Travel Surveys
Reiffer, A.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P.
2022. 101st Transportation Research Board Annual Meeting, Washington D.C., January 9-13, 2022
Ein On-Demand- und Level 4-Kleinbus auf dem Testfeld Autonomes Fahren BW – Erkenntnisse aus der begleitenden Haushaltsbefragung zu EVA-Shuttle
Barthelmes, L.; Wilkes, G.; Kagerbauer, M.; Vortisch, P.
2022. Journal für Mobilität und Verkehr, (12), 36–46
Addressing the gaps in market diffusion modeling of electrical vehicles: A case study from Germany for the integration of environmental policy measures
Van, T. L. C.; Barthelmes, L.; Gnann, T.; Speth, D.; Kagerbauer, M.
2021. Fraunhofer-Institut für System- und Innovationsforschung (ISI) (ISI)