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At present, Connected Autonomous Vehicles (CAVs) have begun to open road testing around the world, but their safety and efficiency performance in complex scenarios is still not satisfactory.
K. Ismail, T. Sayed, and N. Saunier, “Methodologies for aggregating indicators of traffic conflict,”
2011
Earlier work this paper cites.
M. T. Spaan, “Partially observable markov decision processes,”
2012
Earlier work this paper cites.
M. Egorov, “Multi-agent deep reinforcement learning,”
2016
Earlier work this paper cites.
A. Stevens, M. Dianati, K. Katsaros, C. Han, S. Fallah, C. Maple, F. McCullough, and A. Mouzakitis, “Cooperative automation through the cloud: The carma project,” in
2017
Earlier work this paper cites.
B. Xu, S. E. Li, Y. Bian, S. Li, X. J. Ban, J. Wang, and K. Li, “Distributed conflict-free cooperation for multiple connected vehicles at unsignalized intersections,”
2018
Earlier work this paper cites.
E. Leurent, “An environment for autonomous driving decision-making,”
2018
Earlier work this paper cites.
DMV, “Autonomous vehicle disengagement reports 2019,” 2019
2019
Earlier work this paper cites.
C. Yu, W. Sun, H. X. Liu, and X. Yang, “Managing connected and automated vehicles at isolated intersections: From reservation-to optimization-based methods,”
2019
Earlier work this paper cites.
H. Xu, Y. Zhang, L. Li, and W. Li, “Cooperative driving at unsignalized intersections using tree search,”
2019
Earlier work this paper cites.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever, “Language models are unsupervised multitask learners,” 2019. [Online]. Available:
2019
Earlier work this paper cites.
SAE, “Taxonomy and definitions for terms related to cooperative driving automation for on-road motor vehicles,” 2020
2020
Earlier work this paper cites.
S. Bae, D. Saxena, A. Nakhaei, C. Choi, K. Fujimura, and S. Moura, “Cooperation-aware lane change maneuver in dense traffic based on model predictive control with recurrent neural network,” in
2020
Earlier work this paper cites.
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell
2020
Earlier work this paper cites.
Y. Zhang, R. Hao, T. Zhang, X. Chang, Z. Xie, and Q. Zhang, “A trajectory optimization-based intersection coordination framework for cooperative autonomous vehicles,”
2021
Earlier work this paper cites.
T. Chen, M. Wang, S. Gong, Y. Zhou, and B. Ran, “Connected and automated vehicle distributed control for on-ramp merging scenario: A virtual rotation approach,”
2021
Earlier work this paper cites.
Z. Hu, J. Huang, D. Yang, and Z. Zhong, “Constraint-tree-driven modeling and distributed robust control for multi-vehicle cooperation at unsignalized intersections,”
2021
Cited alongside, same era.
D. Ghosh, J. Rahme, A. Kumar, A. Zhang, R. P. Adams, and S. Levine, “Why generalization in rl is difficult: Epistemic pomdps and implicit partial observability,”
2021
Cited alongside, same era.
MZONE, “Beijing autonomous vehicle road test report 2022,” 2022,
2022
Cited alongside, same era.
F. H. Administration, “Carma program overview,” 2022,
2022
Cited alongside, same era.
J. Gao, Z. Kuang, J. Gao, and L. Zhao, “Joint offloading scheduling and resource allocation in vehicular edge computing: A two layer solution,”
2022
Cited alongside, same era.
S. Xu, Q. Liu, Y. Hu, M. Xu, and J. Hao, “Decision-making models on perceptual uncertainty with distributional reinforcement learning,”
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
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C. Chen, Q. Xu, M. Cai, J. Wang, J. Wang, and K. Li, “Conflict-free cooperation method for connected and automated vehicles at unsignalized intersections: Graph-based modeling and optimality analysis,”
2022
Cited alongside, same era.
S. Zhou, W. Zhuang, G. Yin, H. Liu, and C. Qiu, “Cooperative on-ramp merging control of connected and automated vehicles: Distributed multi-agent deep reinforcement learning approach,” in
2022
Cited alongside, same era.
J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q. V. Le, D. Zhou
2022
Cited alongside, same era.
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray
2022
Cited alongside, same era.
DMV, “Autonomous vehicle disengagement reports 2022,” 2022
2022
Cited alongside, same era.
F. Liu, F. Xue, W. Wang, W. Su, and Y. Liu, “Real-time comprehensive driving ability evaluation algorithm for intelligent assisted driving,”
2023
Cited alongside, same era.
J. Liu, D. Zhou, P. Hang, Y. Ni, and J. Sun, “Towards socially responsive autonomous vehicles: A reinforcement learning framework with driving priors and coordination awareness,”
2023
Cited alongside, same era.
2023
Later among the works it cites.
J. Hu, X. Li, W. Hu, Q. Xu, and D. Kong, “A cooperative control methodology considering dynamic interaction for multiple connected and automated vehicles in the merging zone,”
2024
Closest in time.
D. Chen, K. Zhang, Y. Wang, X. Yin, Z. Li, and D. Filev, “Communication-efficient decentralized multi-agent reinforcement learning for cooperative adaptive cruise control,”
2024
Closest in time.
2024
Closest in time.
C. Cui, Y. Ma, X. Cao, W. Ye, and Z. Wang, “Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles,”
2024
Closest in time.
C. Cui, Z. Yang, Y. Zhou, Y. Ma, J. Lu, L. Li, Y. Chen, J. Panchal, and Z. Wang, “Personalized autonomous driving with large language models: Field experiments,” in
2024
Closest in time.
2024
Closest in time.
M. Abdel-Aty and S. Ding, “A matched case-control analysis of autonomous vs human-driven vehicle accidents,”
2024
Closest in time.
S. Fang, P. Hang, C. Wei, Y. Xing, and J. Sun, “Cooperative driving of connected autonomous vehicles in heterogeneous mixed traffic: A game theoretic approach,”
2024
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C. Liu, Z. Xu, Z. Liu, X. Li, and Y. Zhang, “Decentralized multi-vehicle motion planning for platoon forming in mixed traffic using monte carlo tree search,”
2024
Closest in time.