An efficient approach to create agent-based transport simulation scenarios based on ubiquitous Big Data and a new, aspatial activity-scheduling model
- DOI
- 10.1016/j.trpro.2021.01.073
- Published
- 2021
- Container
- Transportation Research Procedia
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.trpro.2021.01.073,
title = {An efficient approach to create agent-based transport simulation scenarios based on ubiquitous Big Data and a new, aspatial activity-scheduling model},
author = {Dominik Ziemke and Billy Charlton and Sebastian Hörl and Kai Nagel},
year = {2021},
journal = {Transportation Research Procedia},
doi = {10.1016/j.trpro.2021.01.073},
url = {https://doi.org/10.1016/j.trpro.2021.01.073}
}RIS
TY - JOUR TI - An efficient approach to create agent-based transport simulation scenarios based on ubiquitous Big Data and a new, aspatial activity-scheduling model AU - Dominik Ziemke AU - Billy Charlton AU - Sebastian Hörl AU - Kai Nagel PY - 2021 JO - Transportation Research Procedia DO - 10.1016/j.trpro.2021.01.073 UR - https://doi.org/10.1016/j.trpro.2021.01.073 ER -
APA
Ziemke, D., Charlton, B., Hörl, S., & Nagel, K. (2021). An efficient approach to create agent-based transport simulation scenarios based on ubiquitous Big Data and a new, aspatial activity-scheduling model. Transportation Research Procedia. https://doi.org/10.1016/j.trpro.2021.01.073
Source records
- hal · retrieved 2026-09-25T04:13:36.157Z