The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies
Open accessAbstract
In addition to decentralized controllers, the information flow among vehicles can significantly affect the dynamics of a platoon. This paper studies the influence of information flow topology on the internal stability and scalability of homogeneous vehicular platoons moving in a rigid formation. A linearized vehicle longitudinal dynamic model is derived using the exact feedback linearization technique, which accommodates the inertial delay of powertrain dynamics. Directed graphs are adopted to describe different types of allowable information flow interconnecting vehicles, including both radar-based sensors and vehicle-to-vehicle (V2V) communications. Under linear feedback controllers, a unified internal stability theorem is proved by using the algebraic graph theory and Routh-Hurwitz stability criterion. The theorem explicitly establishes the stabilizing thresholds of linear controller gains for platoons, under a large class of different information flow topologies. Using matrix eigenvalue analysis, the scalability is investigated for platoons under two typical information flow topologies, i.e., 1) the stability margin of platoon decays to zero as 0(1/N2) for bidirectional topology; and 2) the stability margin is always bounded and independent of the platoon size for bidirectional-leader topology. Numerical simulations are used to illustrate the results.
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Cites
Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
Olfati-Saber, R., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834113 · Cited by 12,788
Horn, R. A., & Johnson, C. R. (2012) · doi:10.1017/cbo9781139020411 · Cited by 4,642
Data-Driven Intelligent Transportation Systems: A Survey
Zhang, J., Wang, F.-Y., Wang, K., Lin, W.-H., Xu, X., & Chen, C. (2011) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2011.2158001 · Cited by 1,817
Cited by
Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey
Marina Martinez, C., Heucke, M., Wang, F.-Y., Gao, B., & Cao, D. (2018) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2706978 · Cited by 620
Self-citationLi, S. E., Zheng, Y., Li, K., Wu, Y., Hedrick, J. K., Gao, F., & Zhang, H. (2017) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2017.2709781 · Cited by 434
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-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
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Metadata
- Authors
- Zheng, Y., Eben Li, S., Wang, J., Cao, D., & Li, K.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2016-01
- Volume
- 17
- Issue
- 1
- Pages
- 14-26
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W2089470280
- Cited by
- 767
- References
- 3
- FWCI
- 35.26
- Type
- journal article
- Language
- en
- Open access
- green
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