| Project Title | Funding | Start | End |
|---|---|---|---|
| DFG Research Unit: Integrated Planning for Public Transportation TP 6: Impact of disruptions on passengers and operations |
Deutsche Forschungsgemeinschaft (DFG) |
2016 |
2021 |
| MOIA Accompanying Research | MOIA GmbH |
2019 |
2021 |
| Masterplan Schnellladeinfrastruktur Region Stuttgart | Verband Region Stuttgart |
2016 |
2017 |
| Profilregion Mobilitätssysteme Karlsruhe - Urban Mobility in Transition | Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg Ministerium für Wirtschaft, Arbeit und Wohnungsbau Baden-Württemberg |
2019 |
2021 |
| regiomove | Europäische Fonds für regionale Entwicklung (EFRE), Land Baden-Württemberg |
2017 |
2021 |
Publications
Wörle, T.; Briem, L.; Kübler, J.; Heilig, M.; Ecke, L.; Kagerbauer, M.; Vortisch, P. (2024). On the Variation in Mode Choice Behavior in Agent-based Travel Demand Models. 103rd Transportation Research Board Annual Meeting, Washington D.C., January 7-11, 2024.
Briem, L. (2023, September 19). Analyse von Störungen und Dispositionen im ÖPNV. PhD dissertation. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000162270
Reiffer, A.; Kübler, J.; Briem, L.; Kagerbauer, M.; Vortisch, P. (2023). Analysing Long-Term Effects of the Covid-19 Pandemic on Last-Mile Delivery Traffic Using an Agent-Based Travel Demand Model. Proceedings of the 12th International Scientific Conference on Mobility and Transport. Ed.: C. Antoniou, 127–139, Springer Nature Singapore. doi:10.1007/978-981-19-8361-0_9
Bachmann, F. R.; Briem, L.; Busch, F.; Vortisch, P. (2022). Dynamics and Processes in Operations Control Centers in Urban Public Transport: Potentials for Improvement. IEEE Transactions on Intelligent Transportation Systems, 23 (10), 17819–17834. doi:10.1109/TITS.2022.3158821
Kübler, J.; Reiffer, A.; Briem, L.; Vortisch, P. (2022). Integrating Neighbours into an Agent-Based Travel Demand Model to Analyse Success Rates of Parcel Deliveries. Procedia Computer Science, 201, 181–188. doi:10.1016/j.procs.2022.03.026
Ulrich, J.; Wilkes, G.; Kostorz, N.; Briem, L.; Kagerbauer, M.; Vortisch Peter. (2022). Modeling Private and Business Travelers in an Agent-Based Travel Demand Model. 101st Transportation Research Board Annual Meeting, Washington D.C., January 9-13, 2022.
Wilkes, G.; Hilgert, T.; Briem, L.; Kagerbauer, M.; Vortisch, P. (2022). Mikroskopische Abbildung von Mobility on Demand im Verkehrsnachfragemodell mobiTopp. Straßenverkehrstechnik, 66 (8).
Klinkhardt, C.; Wörle, T.; Briem, L.; Heilig, M.; Kagerbauer, M.; Vortisch, P. (2021). Using OpenStreetMap as a Data Source for Attractiveness in Travel Demand Models. Transportation research record, 2675 (8), 294–303. doi:10.1177/0361198121997415
Reiffer, A.; Kübler, J.; Briem, L.; Kagerbauer, M.; Vortisch, P. (2021). An integrated agent-based model of travel demand and package deliveries. International Journal of Traffic and Transportation Management, 3 (2), 17–24. doi:10.5383/JTTM.03.02.003
Reiffer, A.; Kübler, J.; Briem, L.; Kagerbauer, M.; Vortisch, P. (2021). Integrating urban last-mile package deliveries into an agent-based travel demand model. The 12th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 4th International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops. Ed.: E. Shakshuki, 178–185, Elsevier. doi:10.1016/j.procs.2021.03.028
Wilkes, G.; Briem, L.; Heilig, M.; Hilgert, T.; Kagerbauer, M.; Vortisch, P. (2021). Determining service provider and transport system related effects of ridesourcing services by simulation within the travel demand model mobiTopp. European Transport Research Review, 13 (1), 34. doi:10.1186/s12544-021-00493-3
Wilkes, G.; Briem, L.; Hilgert, T.; Kagerbauer, M.; Vortisch, P. (2021). Mikroskopische Abbildung von Mobility on Demand im Verkehrsnachfragemodell mobiTopp. Heureka ’21: Optimierung in Verkehr und Transport, Online, 13.04.-14.04.2021.
Wilkes, G.; Engelhardt, R.; Briem, L.; Dandl, F.; Vortisch, P.; Bogenberger, K.; Kagerbauer, M. (2021). Self-Regulating Demand and Supply Equilibrium in Joint Simulation of Travel Demand and a Ride-Pooling Service. Transportation research record, 2675 (8), 226–239. doi:10.1177/0361198121997140
Wörle, T.; Briem, L.; Heilig, M.; Kagerbauer, M.; Vortisch, P. (2021). Modeling intermodal travel behavior in an agent-based travel demand model. The 12th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 4th International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops. Ed.: E. Shakshuki, 202–209, Elsevier. doi:10.1016/j.procs.2021.04.020
Briem, L.; Buck, H. S.; Magdolen, M.; Lange, L.; Vortisch, P. (2020). Incident management in public transport - surveying dispatchers’ actions. Association for European Transport.
Briem, L.; Buck, H. S.; Mallig, N.; Vortisch, P.; Strasser, B.; Wagner, D.; Zündorf, T. (2020). Integrating public transport into mobiTopp. Future generation computer systems, 107, 1089–1096. doi:10.1016/j.future.2017.12.051
Puhe, M.; Briem, L.; Vortisch, P. (2020). Understanding social processes of shopping destination choice - An approach to model stability and variability. Transportation Research Interdisciplinary Perspectives, 7, Article: 100183. doi:10.1016/j.trip.2020.100183
Puhe, M.; Briem, L.; Vortisch, P. (2020). Simulating Social Processes: An Interdisciplinary Approach to Integrate Social Relationships into Destination Choice Modeling. 99th Transportation Research Board Annual Meeting, Washington D.C., January 12 - 16, 2020.
Briem, L.; Heilig, M.; Klinkhardt, C.; Vortisch, P. (2019). Analyzing OpenStreetMap as data source for travel demand models A case study in Karlsruhe. Transportation Research Procedia, 41, 104–112. doi:10.1016/j.trpro.2019.09.021
Briem, L.; Mallig, N.; Vortisch, P. (2019). Creating an integrated agent-based travel demand model by combining mobiTopp and MATSim. Procedia computer science, 151, 776–781. doi:10.1016/j.procs.2019.04.105
Reiffer, A.; Wörle, T.; Briem, L.; Soylu, T.; Kagerbauer, M.; Vortisch, P. (2019). Identifying Usage Profiles of Station-Based Car-Sharing Members Using Cluster Analyses. TRB 98th Annual Meeting Compendium of Papers. Ed.: Transportation Research Board.
Wilkes, G.; Briem, L.; Heilig, M.; Hilgert, T.; Kagerbauer, M.; Vortisch, P. (2019). Identifying service provider and transport system related effects of different ridesourcing service schemes through simulation within the travel demand model mobiTopp. International Conference on Mobility as a Service (iCoMaaS).
Heilig, M.; Plötz, P.; Soylu, T.; Briem, L.; Kagerbauer, M.; Vortisch, P. (2018). Assessment of fast charging station locations - an integrated model based approach. The 15th International Conference on Travel Behaviour Research, July 15-20, 2018, University of California Santa Barbara: Proceedings, International Association for Travel Behaviour Research.
Soylu, T.; Heilig, M.; Briem, L.; Plötz, P.; Kagerbauer, M.; Vortisch, P. (2018). GIS-based modelling of fast-charging infrastructure at the city-regional level. International Scientific Conference on Mobility and Transport: Urban Mobility - Shaping the Future Together, June 13th-14th, 2018, Munich, Germany.
Briem, L.; Buck, H. S.; Ebhart, H.; Mallig, N.; Strasser, B.; Vortisch, P.; Wagner, D.; Zündorf, T. (2017). Efficient traffic assignment for public transit networks. 16th Symposium on Experimental Algorithms (SEA 2017), London, United Kingdom, 21st - 23rd June 2017. Ed.: C. S. Iliopoulos, Art. Nr.: 20, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (LZI). doi:10.4230/LIPIcs.SEA.2017.20
Briem, L.; Buck, H. S.; Mallig, N.; Vortisch, P.; Strasser, B.; Wagner, D.; Zündorf, T. (2017). Integrating public transport into mobiTopp. Procedia computer science, 109 C, 855–860. doi:10.1016/j.procs.2017.05.401
Heilig, M.; Gnann, T.; Plötz, P.; Mallig, N.; Briem, L.; Kagerbauer, M.; Vortisch, P. (2017). Do plug-in electric vehicles cause a change in travel behavior?. The 30th International Electric Vehicle Symposium & Exhibition: Proceedings, AVERE.