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Truck platooning technology enables a group of trucks to travel closely together, with which the platoon can save fuel, improve traffic flow efficiency, and improve safety.
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2015
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S. Van de Hoef, K. H. Johansson, and D. V. Dimarogonas, “Efficient dynamic programming solution to a platoon coordination merge problem with stochastic travel times,”
2017
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R. Bishop, D. Bevly, L. Humphreys, S. Boyd, and D. Murray, “Evaluation and testing of driver-assistive truck platooning: phase 2 final results,”
2017
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V. Lesch, M. Breitbach, M. Segata, C. Becker, S. Kounev, and C. Krupitzer, “An overview on approaches for coordination of platoons,”
2021
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T. Bai, A. Johansson, K. H. Johansson, and J. Mårtensson, “Event-triggered distributed model predictive control for platoon coordination at hubs in a transport system,” in
2021
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A. Johansson, J. Mårtensson, X. Sun, and Y. Yin, “Real-time cross-fleet pareto-improving truck platoon coordination,” in
2021
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A. Johansson, E. Nekouei, K. H. Johansson, and J. Mårtensson, “Strategic hub-based platoon coordination under uncertain travel times,”
2021
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M. Abdolmaleki, M. Shahabi, Y. Yin, and N. Masoud, “Itinerary planning for cooperative truck platooning,”
2021
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A. Johansson, E. Nekouei, K. H. Johansson, and J. Mårtensson, “Multi-fleet platoon matching: A game-theoretic approach,” in
2018
Cited alongside, same era.
T. Chu and U. Kalabić, “Model-based deep reinforcement learning for cacc in mixed-autonomy vehicle platoon,” in
2019
Cited alongside, same era.
R. Larsen, J. Rich, and T. K. Rasmussen, “Hub-based truck platooning: Potentials and profitability,”
2019
Cited alongside, same era.
S. V. D. Hoef, J. Mårtensson, D. V. Dimarogonas, and K. H. Johansson, “A predictive framework for dynamic heavy-duty vehicle platoon coordination,”
2019
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J. Hu, H. Wang, X. Li, and X. Li, “Modelling merging behaviour joining a cooperative adaptive cruise control platoon,”
2020
Cited alongside, same era.
T. Rashid, M. Samvelyan, C. S. De Witt, G. Farquhar, J. Foerster, and S. Whiteson, “Monotonic value function factorisation for deep multi-agent reinforcement learning,”
2020
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G. Sidorenko, J. Thunberg, K. Sjöberg, A. Fedorov, and A. Vinel, “Safety of automatic emergency braking in platooning,”
2021
Cited alongside, same era.
Y. Wu, X. Fang, C. Luo, and G. Min, “Intelligent content precaching scheme for platoon-based edge vehicular networks,”
2022
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Bai, Ting and Johansson, Alexander and Johansson, Karl Henrik and Mårtensson, Jonas, “Approximate dynamic programming for platoon coordination under hours-of-service regulations,” in
2022
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A. Johansson, T. Bai, K. H. Johansson, and J. Mårtensson, “Platoon cooperation across carriers: From system architecture to coordination,”
2022
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T. Bai, A. Johansson, K. H. Johansson, and J. Mårtensson, “Large-scale multi-fleet platoon coordination: A dynamic programming approach,”
2023
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2023
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D. Wei, P. Yi, and J. Lei, “Multi-agent deep reinforcement learning for large-scale platoon coordination with partial information at hubs,” in
2023
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X. Huang, J. Ling, X. Yang, X. Zhang, and K. Yang, “Multi-agent mix hierarchical deep reinforcement learning for large-scale fleet management,”
2023
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