Multiclass information flow propagation control under vehicle-to-vehicle communication environments
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DOI: 10.1016/j.trb.2019.09.005
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References listed on IDEAS
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- Wang, Jian & Lu, Lili & Peeta, Srinivas, 2022. "Real-time deployable and robust cooperative control strategy for a platoon of connected and autonomous vehicles by factoring uncertain vehicle dynamics," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 88-118.
- Wang, Chaojie & Peeta, Srinivas & Wang, Jian, 2021. "Incentive-based decentralized routing for connected and autonomous vehicles using information propagation," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 138-161.
- Hua, Xuedong & Yu, Weijie & Wang, Wei & Zhao, De, 2023. "Impact of multi-class stochastic cyberattacks on vehicle dynamics and rear-end collision risks for heterogeneous traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
- Tao Wang & Sihong Xie & Xiaofei Ye & Xingchen Yan & Jun Chen & Wenyong Li, 2020. "Analyzing E-Bikers’ Risky Riding Behaviors, Safety Attitudes, Risk Perception, and Riding Confidence with the Structural Equation Model," IJERPH, MDPI, vol. 17(13), pages 1-18, July.
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Keywords
Vehicle-to-vehicle communications; Multiclass information flow propagation; Queuing system; Density of informed vehicles; Information flow propagation speed;All these keywords.
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