2021 American Control Conference (ACC) 2021
DOI: 10.23919/acc50511.2021.9482996
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Hybrid powertrain control with dynamic traffic prediction based on real-world V2X information

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Cited by 2 publications
(2 citation statements)
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“…Another emerging scenario that has been addressed in the literature is the vehicle-to-everything (V2X) context, where the vehicle is connected to the surrounding environment and it is able to exchange information with any entity that can affect its performance and energy consumption. For example, Deng et al [29,30] have proposed a model-free approach and a multi-layer architecture to predict long-distance traffic velocity in real-world V2X considering the future dynamics of V2X information. The prediction has been based on the most similar past trajectories to the given route and this information has been exploited for forecasting up to 20 min; then, traffic velocity predicted has been adopted for an MPC control approach.…”
Section: Introductionmentioning
confidence: 99%
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“…Another emerging scenario that has been addressed in the literature is the vehicle-to-everything (V2X) context, where the vehicle is connected to the surrounding environment and it is able to exchange information with any entity that can affect its performance and energy consumption. For example, Deng et al [29,30] have proposed a model-free approach and a multi-layer architecture to predict long-distance traffic velocity in real-world V2X considering the future dynamics of V2X information. The prediction has been based on the most similar past trajectories to the given route and this information has been exploited for forecasting up to 20 min; then, traffic velocity predicted has been adopted for an MPC control approach.…”
Section: Introductionmentioning
confidence: 99%
“…For example, Deng et al. [29, 30] have proposed a model‐free approach and a multi‐layer architecture to predict long‐distance traffic velocity in real‐world V2X considering the future dynamics of V2X information. The prediction has been based on the most similar past trajectories to the given route and this information has been exploited for forecasting up to 20 min; then, traffic velocity predicted has been adopted for an MPC control approach.…”
Section: Introductionmentioning
confidence: 99%