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Andreas Neumann
Andreas Neumann
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Bestätigte E-Mail-Adresse bei alumni.tu-berlin.de
Titel
Zitiert von
Zitiert von
Jahr
Mobility traces and spreading of COVID-19
SA Müller, M Balmer, A Neumann, K Nagel
MedRxiv, 2020.03. 27.20045302, 2020
832020
OpenStreetMap for traffic simulation
M Zilske, A Neumann, K Nagel
Proceedings of the 1st European State of the Map–OpenStreetMap conference …, 2011
612011
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
592021
A paratransit-inspired evolutionary process for public transit network design
A Neumann
epubli, 2014
572014
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
572014
A paratransit-inspired evolutionary process for public transit network design
A Neumann, K Nagel
Transportation Research Board 91st Annual Meeting, 2012
572012
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
452015
Simulation of urban traffic control: A queue model approach
D Grether, A Neumann, K Nagel
Procedia Computer Science 10, 808-814, 2012
422012
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
382015
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
382015
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
382015
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, 1039-1061, 2015
372015
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
242014
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
192020
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
172013
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
162010
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
152020
The “minibus” contribution
A Neumann, JW Joubert
The multi-agent transport simulation MATSim. London: Ubiquity Press. https …, 2016
152016
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
11*2012
Mind the gap–Passenger arrival patterns in multi-agent simulations
A Neumann, I Kaddoura, K Nagel
Conference on Agent-Based Modeling in Transportation Planning and Operations …, 2013
102013
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