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A cellular automaton model for freeway traffic
Open accessAbstract
We introduce a stochastic discrete automaton model to freeway traffic. Monte-Carlo simulations of the model show a transition from laminar traffic flow to start-stop-waves with increasing vehicle density, as is observed in real freeway traffic. For special cases analytical results can be obtained.
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Cited by
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Burstedde, C., Klauck, K., Schadschneider, A., & Zittartz, J. (2001) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(01)00141-8 · Cited by 1,769
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Dawson, R. J., Peppe, R., & Wang, M. (2011) · Natural Hazards · doi:10.1007/s11069-011-9745-4 · Cited by 334
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Adam, C., & Gaudou, B. (2016) · The Knowledge Engineering Review · doi:10.1017/s0269888916000096 · Cited by 165
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Aguilar, J., Monaenkova, D., Linevich, V., Savoie, W., Dutta, B., Kuan, H.-S., Betterton, M. D., Goodisman, M. A. D., & Goldman, D. I. (2018) · Science · doi:10.1126/science.aan3891 · Cited by 83
Short-term traffic prediction using fuzzy C-means and cellular automata in a wide-area road network
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Metadata
- Authors
- Nagel, K., & Schreckenberg, M.
- Venue
- Journal de Physique I
- Publisher
- EDP Sciences
- Published
- 1992-12
- Volume
- 2
- Issue
- 12
- Pages
- 2221-2229
- ISSN
- 1155-4304 (ISSN-L)
- 1286-4862
- OpenAlex
- W2154376416
- Cited by
- 3,838
- References
- 0
- FWCI
- 40.43
- Type
- journal article
- Language
- fr
- Open access
- green
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- Nagel, K., & Schreckenberg, M. (1992). A cellular automaton model for freeway traffic. Journal de Physique I. https://doi.org/10.1051/jp1%3A1992277
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.