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Andreas Neumann
Andreas Neumann
Unknown affiliation
Verified email at alumni.tu-berlin.de
Title
Cited by
Cited by
Year
Mobility traces and spreading of COVID-19
SA Müller, M Balmer, A Neumann, K Nagel
medRxiv, 2020
722020
A paratransit-inspired evolutionary process for public transit network design
A Neumann
epubli, 2014
542014
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
542014
A paratransit-inspired evolutionary process for public transit network design
A Neumann, K Nagel
Transportation Research Board 91st Annual Meeting, 2012
542012
OpenStreetMap for traffic simulation
M Zilske, A Neumann, K Nagel
Proceedings of the 1st European State of the Map–OpenStreetMap conference …, 2011
46*2011
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
372015
Simulation of urban traffic control: A queue model approach
D Grether, A Neumann, K Nagel
Procedia Computer Science 10, 808-814, 2012
362012
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
352015
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
352015
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
352015
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
342015
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, ...
medRxiv, 2021
312021
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
30*2014
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
182013
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
112020
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
112020
The “minibus” contribution
A Neumann, JW Joubert
A. Horni, K. Nagel, & K. W. Axhausen, The Multi-Agent Transport Simulation …, 2016
102016
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
Micro meets macro: A combined approach for a large-scale, agent-based, multi-modal and dynamic transport model for Berlin
A Neumann, M Balmer
VSP Working Paper 11-14, TU Berlin, Transport Systems Planning and Transport …, 2011
82011
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Articles 1–20