The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities
Abstract
The platooning of connected and automated vehicles (CAVs) is expected to have a transformative impact on road transportation, e.g., enhancing highway safety, improving traffic utility, and reducing fuel consumption. Requiring only local information, distributed control schemes are scalable approaches to the coordination of multiple CAVs without using centralized communication and computation. From the perspective of multi-agent consensus control, this paper introduces a decomposition framework to model, analyze, and design the platoon system. In this framework, a platoon is naturally decomposed into four interrelated components, i.e., 1) node dynamics, 2) information flow network, 3) distributed controller, and 4) geometry formation. The classic model of each component is summarized according to the results of the literature survey; four main performance metrics, i.e., internal stability, stability margin, string stability, and coherence behavior, are discussed in the same fashion. Also, the basis of typical distributed control techniques is presented, including linear consensus control, distributed robust control, distributed sliding mode control, and distributed model predictive control.
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Cites
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Information Flow and Cooperative Control of Vehicle Formations
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The Impact of Cooperative Adaptive Cruise Control on Traffic-Flow Characteristics
van Arem, B., van Driel, C. J. G., & Visser, R. (2006) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2006.884615 · Cited by 1,490
Smart cars on smart roads: problems of control
Varaiya, P. (1993) · IEEE Transactions on Automatic Control · doi:10.1109/9.250509 · Cited by 1,383
String stability of interconnected systems
Swaroop, D., & Hedrick, J. K. (1996) · IEEE Transactions on Automatic Control · doi:10.1109/9.486636 · Cited by 1,226
Self-citationString-Stable CACC Design and Experimental Validation: A Frequency-Domain Approach
Naus, G. J. L., Vugts, R. P. A., Ploeg, J., van de Molengraft, M. J. G., & Steinbuch, M. (2010) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2010.2076320 · Cited by 916
Automated vehicle control developments in the PATH program
Shladover, S. E., Desoer, C. A., Hedrick, J. K., Tomizuka, M., Walrand, J., Zhang, W.-B., McMahon, D. H., Peng, H., Sheikholeslam, S., & McKeown, N. (1991) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.69979 · Cited by 786
Self-citationZheng, Y., Eben Li, S., Wang, J., Cao, D., & Li, K. (2016) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2015.2402153 · Cited by 767
Self-citationLp String Stability of Cascaded Systems: Application to Vehicle Platooning
Ploeg, J., van de Wouw, N., & Nijmeijer, H. (2014) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2013.2258346 · Cited by 687
Model Predictive Multi-Objective Vehicular Adaptive Cruise Control
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Self-citation
Cited by
Arthurs, P., Gillam, L., Krause, P., Wang, N., Halder, K., & Mouzakitis, A. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3084396 · Cited by 339
A 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-citationReducing time headway for platooning of connected vehicles via V2V communication
Bian, Y., Zheng, Y., Ren, W., Li, S. E., Wang, J., & Li, K. (2019) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.03.002 · Cited by 299
Self-citationPrivacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic
Zhang, K., Chen, K., Li, Z., Chen, J., & Zheng, Y. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3329484 · Cited by 24
Self-citationConnected and Automated Vehicles
Peng, H. (2016) · Mechanical Engineering · doi:10.1115/1.2016-dec-2 · Cited by 15
Metadata
- Authors
- Li, S. E., Zheng, Y., Li, K., Wu, Y., Hedrick, J. K., Gao, F., & Zhang, H.
- Venue
- IEEE Intelligent Transportation Systems Magazine
- Published
- 2017
- Volume
- 9
- Issue
- 3
- Pages
- 46-58
- ISSN
- 1939-1390 (ISSN-L)
- OpenAlex
- W2739024611
- Cited by
- 434
- References
- 47
- FWCI
- 16.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, S. E., Zheng, Y., Li, K., Wu, Y., Hedrick, J. K., Gao, F., & Zhang, H. (2017). Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities. IEEE Intelligent Transportation Systems Magazine. https://doi.org/10.1109/mits.2017.2709781
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