The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Cooperative Adaptive Cruise Control in Real Traffic Situations
Open accessAbstract
Intelligent vehicle cooperation based on reliable communication systems contributes not only to reducing traffic accidents but also to improving traffic flow. Adaptive cruise control (ACC) systems can gain enhanced performance by adding vehicle-vehicle wireless communication to provide additional information to augment range sensor data, leading to cooperative ACC (CACC). This paper presents the design, development, implementation, and testing of a CACC system. It consists of two controllers, one to manage the approaching maneuver to the leading vehicle and the other to regulate car-following once the vehicle joins the platoon. The system has been implemented on four production Infiniti M56s vehicles, and this paper details the results of experiments to validate the performance of the controller and its improvements with respect to the commercially available ACC system.
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Citations
Cites
Impacts of cooperative adaptive cruise control on freeway traffic flow
Shladover, S. E., Su, D., & Lu, X.-Y. (2012) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2324-08 · Cited by 887
Self-citation
Cited by
A Review of Motion Planning Techniques for Automated Vehicles
Gonzalez, D., Perez, J., Milanes, V., & Nashashibi, F. (2016) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2015.2498841 · Cited by 1,670
Connected and automated vehicle systems: Introduction and overview
Shladover, S. E. (2018) · Journal of Intelligent Transportation Systems · doi:10.1080/15472450.2017.1336053 · Cited by 531
Self-citationA Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles
Wang, Z., Bian, Y., Shladover, S. E., Wu, G., Li, S. E., & Barth, M. J. (2020) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2019.2953562 · Cited by 316
Self-citationA review on safety failures, security attacks, and available countermeasures for autonomous vehicles
Cui, J., Liew, L. S., Sabaliauskaite, G., & Zhou, F. (2019) · Ad Hoc Networks · doi:10.1016/j.adhoc.2018.12.006 · 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
- Milanés, V., Shladover, S. E., Spring, J., Nowakowski, C., Kawazoe, H., & Nakamura, M.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2014-02
- Volume
- 15
- Issue
- 1
- Pages
- 296-305
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W2007718857
- Cited by
- 1,130
- References
- 1
- FWCI
- 42.09
- Type
- journal article
- Language
- en
- Open access
- green
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- Milanés, V., Shladover, S. E., Spring, J., Nowakowski, C., Kawazoe, H., & Nakamura, M. (2014). Cooperative Adaptive Cruise Control in Real Traffic Situations. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2013.2278494
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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.
