The DOI matches its Crossref record.
Dynamical model of a cooperative driving system for freeway traffic
Abstract
We propose an extended optimal velocity model applicable to cooperative driving control system, which will be realized in the near future. In the model, a vehicle is controlled by the system using the information of arbitrary number of vehicles that precede or follow. We investigate the stability of uniform flow and the response to a disturbance in the linear approximation.
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Citations
Cited by
Analysis of mixed traffic flow with human-driving and autonomous cars based on car-following model
Zhu, W.-X., & Zhang, H. M. (2018) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2017.12.103 · Cited by 298
Zhou, M., Qu, X., & Jin, S. (2016) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2016.2606492 · Cited by 291
Metadata
- Authors
- Hasebe, K., Nakayama, A., & Sugiyama, Y.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2003-08-05
- Volume
- 68
- Issue
- 2
- Pages
- 026102-026102
- ISSN
- 1063-651X (ISSN-L)
- 1095-3787
- OpenAlex
- W1966233337
- Cited by
- 194
- References
- 0
- FWCI
- 8.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hasebe, K., Nakayama, A., & Sugiyama, Y. (2003). Dynamical model of a cooperative driving system for freeway traffic. Physical Review E. https://doi.org/10.1103/physreve.68.026102
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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.
