Fully Distributed Optimization-Based CAV Platooning Control Under Linear Vehicle Dynamics

References

• Alizadeh F, Goldfarb D (2003) Second-order cone programming. Math. Programming 95(1):3–51.Crossref, Google Scholar
• Barooah P, Mehta PG, Hespanha JP (2009) Mistuning-based control design to improve closed-loop stability margin of vehicular platoons. IEEE Trans. Automated Control 54(9):2100–2113.Crossref, Google Scholar
• Bergenhem C, Shladover S, Coelingh E, Englund C, Tsugawa S (2012) Overview of platooning systems. Proc. 19th ITS World Congress (Vienna, Austria), 1–7.Google Scholar
• Davis D, Yin W (2017) A three-operator splitting scheme and its optimization applications. Set-Valued Variance Anal. 25(4):829–858.Crossref, Google Scholar
• Gong S, Du L (2018) Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles. Transportation Res. Part B: Methodological 116:25–61.Crossref, Google Scholar
• Gong S, Shen J, Du L (2016) Constrained optimization and distributed computation based car following control of a connected and autonomous vehicle platoon. Transportation Res. Part B: Methodological 94:314–334.Crossref, Google Scholar
• Hu J, Xiao Y, Liu J (2018) Distributed algorithms for solving locally coupled optimization problems on agent networks. Proc. IEEE Conf. Decision Control (IEEE, New York), 2420–2425.Google Scholar
• Kavathekar P, Chen Y (2011) Vehicle platooning: A brief survey and categorization. Proc. ASME Internat. Design Engrg. Tech. Conf. Comput. Inform. Engrg. Conf. (American Society of Mechanical Engineers), 829–845.Google Scholar
• Kesting A, Treiber M, Schönhof M, Helbing D (2008) Adaptive cruise control design for active congestion avoidance. Transportation Res. Part C Emerging Tech. 16(6):668–683.Crossref, Google Scholar
• Koshal J, Nedic A, Shanbhag UV (2011) Multiuser optimization: Distributed algorithms and error analysis. SIAM J. Optim. 21(3):1046–1081.Crossref, Google Scholar
• Li S, Li K, Rajamani R, Wang J (2011) Model predictive multi-objective vehicular adaptive cruise control. IEEE Trans. Control Systems Tech. 19(3):556–566.Crossref, Google Scholar
• Marsden G, McDonald M, Brackstone M (2001) Toward an understanding of adaptive cruise control. Transportation Res. Part C: Emerging Tech. 9(1):33–51.Crossref, Google Scholar
• Mesbahi M, Egerstedt M (2010) Graph Theoretic Methods in Multiagent Networks (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Rockafellar RT (1970) Convex Analysis (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Shen J, Kammara EKH, Du L (2022) Nonconvex, fully distributed optimization based CAV platooning control under nonlinear vehicle dynamics. Preprint, submitted to IEEE Transactions on Intelligent Transportation Systems, revision under review, 2022, https://arxiv.org/abs/2104.08713.Google Scholar
• Shladover SE, Su D, Lu X-Y (2012) Impacts of cooperative adaptive cruise control on freeway traffic flow. Transportation Res. Record J. Transportation Res. Board 2324:63–70.Crossref, Google Scholar
• Shladover SE, Nowakowski C, Lu X-Y, Ferlis R (2015) Cooperative adaptive cruise control: definitions and operating concepts. Transportation Res. Record J. Transportation Res. Board 2489:145–152.Crossref, Google Scholar
• Sturm JF (1999) Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones. Optim. Methods Software 11(1-4):625–653.Crossref, Google Scholar
• Van Arem B, Van Driel CJ, Visser R (2006) The impact of cooperative adaptive cruise control on traffic-flow characteristics. IEEE Trans. Intelligent Transportation Systems 7(4):429–436.Crossref, Google Scholar
• Vander Werf J, Shladover SE, Miller MA, Kourjanskaia N (2002) Effects of adaptive cruise control systems on highway traffic flow capacity. Transportation Res. Record 1800(1):78–84.Crossref, Google Scholar
• Wang J, Gong S, Peeta S, Lu L (2019) A real-time deployable model predictive control-based cooperative platooning approach for connected and autonomous vehicles. Transportation Res. Part B: Methodological 128:271–301.Crossref, Google Scholar
• Wang M, Daamen W, Hoogendoorn SP, van Arem B (2014) Rolling horizon control framework for driver assistance systems. Part II: Cooperative sensing and cooperative control. Transportation Res. Part C: Emerging Tech. 40:290–311.Crossref, Google Scholar
• Wang M, Daamen W, Hoogendoorn SP, van Arem B (2016) Cooperative car-following control: Distributed algorithm and impact on moving jam features. IEEE Trans. Intelligent Transportation Systems 17(5):1459–1471.Crossref, Google Scholar
• Zhao S, Zhang K (2020) A distributionally robust stochastic optimization-based model predictive control with distributionally robust chance constraints for cooperative adaptive cruise control under uncertain traffic conditions. Transportation Res. Part B: Methodological 138:144–178.Crossref, Google Scholar
• Zheng Y, Li SE, Li K, Borrelli F, Hedrick JK (2017) Distributed model predictive control for heterogeneous vehicle platoons under unidirectional topologies. IEEE Trans. Control Systems Tech. 25(3):899–910.Crossref, Google Scholar
• Zhou Y, Wang M, Ahn S (2019) Distributed model predictive control approach for cooperative car-following with guaranteed local and string stability. Transportation Res. Part B: Methodological 128:69–86.Crossref, Google Scholar
• Zhou Y, Ahn S, Chitturi M, Noyce DA (2017) Rolling horizon stochastic optimal control strategy for ACC and CACC under uncertainty. Transportation Res. Part C: Emerging Tech. 83:61–76.Crossref, Google Scholar