The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Generalized force model of traffic dynamics
Open accessAbstract
Floating car data of car-following behavior in cities were compared to existing microsimulation models, after their parameters had been calibrated to the experimental data. With these parameter values, additional simulations have been carried out, e.g., of a moving car which approaches a stopped car. It turned out that, in order to manage such kinds of situations without producing accidents, improved traffic models are needed. Good results were obtained with the proposed generalized force model.
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Citations
Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
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
Self-citationZhao, W., Ngoduy, D., Shepherd, S., Liu, R., & Papageorgiou, M. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.05.025 · Cited by 357
Metadata
- Authors
- Helbing, D., & Tilch, B.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 1998-07-01
- Volume
- 58
- Issue
- 1
- Pages
- 133-138
- ISSN
- 1063-651X (ISSN-L)
- 1095-3787
- OpenAlex
- W2037079232
- Cited by
- 1,169
- References
- 1
- FWCI
- 14.55
- Type
- journal article
- Language
- en
- Open access
- green
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- Helbing, D., & Tilch, B. (1998). Generalized force model of traffic dynamics. Physical Review E. https://doi.org/10.1103/physreve.58.133
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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.
