An OpenStreetMap-based approach for generating capacity-restricted POIs for activity-based travel demand modeling

Author:

Malkus Jan-Lukas,López Díaz María,Schengen Alain,Mocanu Tudor,Kühn Martin J.

Publisher

Elsevier BV

Reference14 articles.

1. Müller, Sebastian A., Michael Balmer, William Charlton, Ricardo Ewert, Andreas Neumann, Christian Rakow, Tilmann Schlenther, and Kai Nagel. (2021) "Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data" PLoS ONE (16). DOI: 10.1371/journal.pone.0259037

2. Kagho, Grace O., Milos Balac, and Kay W. Axhausen. (2020) "Agent-Based Models in Transport Planning: Current State, Issues, and Expectations" Procedia Computer Science 170 726—732. DOI: 10.1016/j.procs.2020.03.164

3. von Schmidt, Antje, María López Díaz, and Alain Schengen (2021) "Creating a Baseline Scenario for Simulating Travel Demand: A Case Studyfor Preparing the Region Test Bed Lower Saxony, Germany" The Thirteenth International Conference on Advances in System Simulation(SIMUL), IARIA, Think Mind 51-57’, ISBN: 978-1-61208-898-3

4. Ziemke, Dominik, Ihab Kaddoura, and Kai Nagel. (2019) "The MATSim Open Berlin Scenario: A multimodal agent-based transport simulation scenario based on synthetic demand modeling and open data" Procedia Computer Science, The 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops 151, 870-877. DOI: 10.1016/j.procs.2019.04.120

5. Klinkhardt, Christian, Tim Woerle, Lars Briem, Michael Heilig, Martin Kagerbauer, and Peter Vortisch. (2021) "Using Open-StreetMap as a Data Source for Attractiveness in Travel Demand Models" Transportation Research Record 2675 (8): 294-303. DOI:10.1177/0361198121997415

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