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Experimental properties of complexity in traffic flow
Abstract
Experimental investigations of a complexity in traffic flow are presented. It is shown that this complexity is linked to space-time transitions between three qualitative different kinds of traffic: "free" traffic flow, "synchronized" traffic flow, and traffic jams. Peculiarities of "synchronized" traffic flow and jams that are responsible for a complex behavior of traffic are found.
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Citations
Cited by
Congested traffic states in empirical observations and microscopic simulations
Treiber, M., Hennecke, A., & Helbing, D. (2000) · Physical Review E · doi:10.1103/physreve.62.1805 · Cited by 4,762
Traffic and related self-driven many-particle systems
Helbing, D. (2001) · Reviews of Modern Physics · doi:10.1103/revmodphys.73.1067 · Cited by 3,245
Experimental Features of Self-Organization in Traffic Flow
Kerner, B. S. (1998) · Physical Review Letters · doi:10.1103/physrevlett.81.3797 · Cited by 561
Self-citationExperimental Properties of Phase Transitions in Traffic Flow
Kerner, B. S., & Rehborn, H. (1997) · Physical Review Letters · doi:10.1103/physrevlett.79.4030 · Cited by 521
Self-citationEmpirical Features of Congested Traffic States and Their Implications for Traffic Modeling
Schönhof, M., & Helbing, D. (2007) · Transportation Science · doi:10.1287/trsc.1070.0192 · Cited by 277
Metadata
- Authors
- Kerner, B. S., & Rehborn, H.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 1996-05-01
- Volume
- 53
- Issue
- 5
- Pages
- R4275-R4278
- ISSN
- 1063-651X (ISSN-L)
- 1095-3787
- OpenAlex
- W1963691321
- Cited by
- 500
- References
- 0
- FWCI
- 27.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kerner, B. S., & Rehborn, H. (1996). Experimental properties of complexity in traffic flow. Physical Review E. https://doi.org/10.1103/physreve.53.r4275
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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.
