| Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data SA Müller, M Balmer, W Charlton, R Ewert, A Neumann, C Rakow, ... PloS one 16 (10), e0259037, 2021 | 106 | 2021 |
| Mobility traces and spreading of COVID-19 SA Müller, M Balmer, A Neumann, K Nagel MedRxiv, 2020.03. 27.20045302, 2020 | 90 | 2020 |
| OpenStreetMap for traffic simulation M Zilske, A Neumann, K Nagel Proceedings of the 1st European State of the Map–OpenStreetMap conference …, 2011 | 66 | 2011 |
| A paratransit-inspired evolutionary process for public transit network design A Neumann epubli, 2014 | 63 | 2014 |
| A paratransit-inspired evolutionary process for public transit network design A Neumann PhD thesis, TU Berlin. Also VSP WP 14-13, see www. vsp. tu-berlin. de …, 2014 | 63 | 2014 |
| A paratransit-inspired evolutionary process for public transit network design A Neumann, K Nagel Transportation Research Board 91st Annual Meeting, 2012 | 63 | 2012 |
| Towards a simulation of minibuses in South Africa A Neumann, D Röder, JW Joubert Journal of Transport and Land Use 8 (1), 137-154, 2015 | 57 | 2015 |
| Optimal Public Transport Pricing: Towards an Agent-based Marginal Social Cost Approach I Kaddoura, B Kickhöfer, A Neumann, A Tirachini Journal of Transport Economics and Policy (JTEP) 49 (2), 200-218, 2015 | 45 | 2015 |
| Optimal public transport pricing: towards an agent-based marginal social cost approach I Kaddoura, B Kickhöfer, A Neumann, A Tirachini Journal of Transport Economics and Policy (JTEP) 49 (2), 200-218, 2015 | 45 | 2015 |
| Optimal public transport pricing: Towards an agent-based marginal social cost approach I Kaddoura, B Kickhöfer, A Neumann, A Tirachini Journal of Transport Economics and Policy (JTEP) 49 (2), 200-218, 2015 | 45 | 2015 |
| Agent-based optimisation of public transport supply and pricing: impacts of activity scheduling decisions and simulation randomness I Kaddoura, B Kickhöfer, A Neumann, A Tirachini Transportation 42 (6), 1039-1061, 2015 | 42 | 2015 |
| Simulation of urban traffic control: A queue model approach D Grether, A Neumann, K Nagel Procedia Computer Science 10, 808-814, 2012 | 42 | 2012 |
| Using mobile phone data for epidemiological simulations of lockdowns: government interventions, behavioral changes, and resulting changes of reinfections SA Müller, M Balmer, B Charlton, R Ewert, A Neumann, C Rakow, ... medRxiv, 2020.07. 22.20160093, 2020 | 28 | 2020 |
| Converting a static trip-based model into a dynamic activity-based model to analyze public transport demand in Berlin A Neumann, M Balmer, M Rieser Travel Behaviour Research: Current Foundations, Future Prospects 2, 151-176, 2014 | 26 | 2014 |
| The “minibus” contribution A Neumann, JW Joubert The multi-agent transport simulation MATSim. London: Ubiquity Press. https …, 2016 | 22 | 2016 |
| A realistic agent-based simulation model for COVID-19 based on a traffic simulation and mobile phone data SA Müller, M Balmer, W Charlton, R Ewert, A Neumann, C Rakow, ... arXiv preprint arXiv:2011.11453, 2020 | 19 | 2020 |
| Avoiding bus bunching phenomena from spreading: A dynamic approach using a multi-agent simulation framework A Neumann, K Nagel VSP WorkingPaper10-08, TU Berlin, Transport Systems Planning and Transport …, 2010 | 18 | 2010 |
| Passenger agent and paratransit operator reaction to changes of service frequency of a fixed train line A Neumann, K Nagel Procedia Computer Science 19, 803-808, 2013 | 17 | 2013 |
| From today’s ride-sharing services to future mobility concepts: A simulation study for urban and rural areas I Kaddoura, G Leich, A Neumann, K Nagel Technische Universität Berlin, 2021 | 13 | 2021 |
| Converting a static macroscopic model into a dynamic activity-based model to analyze public transport demand in berlin A Neumann, M Balmer, M Rieser Proceedings of the 13th Conference of the International Association for …, 2012 | 13* | 2012 |
Kai NagelVerified email at vsp.tu-berlin.de
