The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Reducing time headway for platooning of connected vehicles via V2V communication
Abstract
Abstract In a platoon of connected vehicles, time headway plays an important role in both traffic capacity and road safety. It is desirable to maintain a lower time headway while satisfying string stability in a platoon, since this leads to a higher traffic capacity and guarantees the disturbance attenuation ability. In this paper, we study a multiple-predecessor following strategy to reduce time headway via vehicle-to-vehicle (V2V) communication. We first introduce a new definition of desired inter-vehicle distances based on the constant time headway (CTH) policy, which is suitable for general communication topologies. By exploiting lower-triangular structures in a time headway matrix and an information topology matrix, we derive a set of necessary and sufficient conditions on feedback gains for internal asymptotic stability. Further, by analyzing the stable region of feedback gains, a necessary and sufficient condition on time headway is also obtained for the string stability specification. It is proved that a platoon can be asymptotically stable and string stable when the time headway is lower bounded. Moreover, this bound can be reduced by increasing the number of predecessors. These results explicitly highlight the benefits of V2V communication on reducing time headway for platooning of connected vehicles.
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Citations
Cites
Consensus and Cooperation in Networked Multi-Agent Systems
Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522 · cited 1×
“With the introduction of V2V communication, a platoon system can be more appropriately viewed as a multi-agent system (Jadbabaie et al., 2003; Ren & Beard, 2008; Olfati-Saber et al., 2007; Ren & Cao, 2010), for which graph theory can be applied to systematically address the modeling and synthesis problems (Yadlapalli…”
MethodCoordination of groups of mobile autonomous agents using nearest neighbor rules
Jadbabaie, A., Lin, J., & Morse, A. S. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.812781 · Cited by 8,339
Information Flow and Cooperative Control of Vehicle Formations
Fax, J. A., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834433 · Cited by 4,579
Mathematical Methods for Physicists
Arfken, G., & Mathews, J. (1972) · American Journal of Physics · doi:10.1119/1.1988084 · Cited by 4,038
Sliding Mode Control in Electro-Mechanical Systems
Utkin, V., Guldner, J., & Shi, J. (2017) · CRC Press eBooks · doi:10.1201/9781420065619 · Cited by 3,226
Distributed Consensus in Multi-vehicle Cooperative Control
Ren, W., & Beard, R. W. (2008) · Communications and Control Engineering · doi:10.1007/978-1-84800-015-5 · Cited by 2,826
Self-citationInfluence of connected and autonomous vehicles on traffic flow stability and throughput
Talebpour, A., & Mahmassani, H. S. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.07.007 · Cited by 1,388
Sliding Mode Control in Electro-mechanical Systems
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Cooperative Adaptive Cruise Control in Real Traffic Situations
Milanés, V., Shladover, S. E., Spring, J., Nowakowski, C., Kawazoe, H., & Nakamura, M. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2013.2278494 · Cited by 1,130
String-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
Cited by
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-citationSamii, A., Haan, R. D., & Bekiaris-Liberis, N. (2025) · 2025 IEEE 64th Conference on Decision and Control (CDC) · doi:10.1109/cdc57313.2025.11312324 · Cited by 1
Metadata
- Authors
- Bian, Y., Zheng, Y., Ren, W., Li, S. E., Wang, J., & Li, K.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 102
- Pages
- 87-105
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W2921755018
- Cited by
- 299
- References
- 51
- FWCI
- 16.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bian, Y., Zheng, Y., Ren, W., Li, S. E., Wang, J., & Li, K. (2019). Reducing time headway for platooning of connected vehicles via V2V communication. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2019.03.002
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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