The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Traffic jams: dynamics and control
Abstract
This introductory paper reviews the current state-of-the-art scientific methods used for modelling, analysing and controlling the dynamics of vehicular traffic. Possible mechanisms underlying traffic jam formation and propagation are presented from a dynamical viewpoint. Stable and unstable motions are described that may give the skeleton of traffic dynamics, and the effects of driver behaviour are emphasized in determining the emergent state in a vehicular system. At appropriate points, references are provided to the papers published in the corresponding Theme Issue.
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Citations
Cites
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
On kinematic waves II. A theory of traffic flow on long crowded roads
Lighthill, M. J., & Whitham, G. B. (1955) · Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences · doi:10.1098/rspa.1955.0089 · Cited by 4,590
A cellular automaton model for freeway traffic
Nagel, K., & Schreckenberg, M. (1992) · Journal de Physique I · doi:10.1051/jp1:1992277 · Cited by 3,838
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
Dynamical model of traffic congestion and numerical simulation
Bando, M., Hasebe, K., Nakayama, A., Shibata, A., & Sugiyama, Y. (1995) · Physical Review E · doi:10.1103/physreve.51.1035 · Cited by 3,013
A behavioural car-following model for computer simulation
Gipps, P. G. (1981) · Transportation Research Part B: Methodological · doi:10.1016/0191-2615(81)90037-0 · Cited by 2,357
Nonlinear Follow-the-Leader Models of Traffic Flow
Gazis, D. C., Herman, R., & Rothery, R. W. (1961) · Operations Research · doi:10.1287/opre.9.4.545 · Cited by 1,518
Traffic Dynamics: Studies in Car Following
Chandler, R. E., Herman, R., & Montroll, E. W. (1958) · Operations Research · doi:10.1287/opre.6.2.165 · Cited by 1,458
General Lane-Changing Model MOBIL for Car-Following Models
Kesting, A., Treiber, M., & Helbing, D. (2007) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/1999-10 · Cited by 1,345
An Operational Analysis of Traffic Dynamics
Pipes, L. A. (1953) · Journal of Applied Physics · doi:10.1063/1.1721265 · Cited by 1,311
Cited by
Jin, S., Sun, D.-H., Zhao, M., Li, Y., & Chen, J. (2020) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2020.124217 · Cited by 86
Dong, J., Wang, J., & Luo, D. (2022) · Transportation Safety and Environment · doi:10.1093/tse/tdac021 · Cited by 15
Metadata
- Authors
- Orosz, G., Wilson, R. E., & Stépán, G.
- Venue
- Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
- Publisher
- The Royal Society
- Published
- 2010-10-13
- Volume
- 368
- Issue
- 1928
- Pages
- 4455-4479
- ISSN
- 1364-503X (ISSN-L)
- 1471-2962
- OpenAlex
- W2008115886
- Cited by
- 398
- References
- 37
- FWCI
- 22.31
- Type
- journal article
- Language
- en
- Open access
- closed
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- Orosz, G., Wilson, R. E., & Stépán, G. (2010). Traffic jams: dynamics and control. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. https://doi.org/10.1098/rsta.2010.0205
Data sources
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.
