[HTML][HTML] Hierarchical Optimization Based on Deep Reinforcement Learning for Connected Fuel Cell Hybrid Vehicles through Signalized Intersections
H Dong, L Zhao, H Zhou, H Li - Processes, 2023 - mdpi.com
With the advantages of non-pollution and energy-saving, hydrogen fuel cell hybrid vehicles
(HFCHVs) are regarded as one of the potential traveling ways in the future. The energy …
(HFCHVs) are regarded as one of the potential traveling ways in the future. The energy …
Hierarchical Optimization Based on Deep Reinforcement Learning for Connected Fuel Cell Hybrid Vehicles through Signalized Intersections.
H Dong, L Zhao, H Zhou, H Li - Processes, 2023 - search.ebscohost.com
With the advantages of non-pollution and energy-saving, hydrogen fuel cell hybrid vehicles
(HFCHVs) are regarded as one of the potential traveling ways in the future. The energy …
(HFCHVs) are regarded as one of the potential traveling ways in the future. The energy …
Hierarchical Optimization Based on Deep Reinforcement Learning for Connected Fuel Cell Hybrid Vehicles through Signalized Intersections
H Dong, L Zhao, H Zhou, H Li - Processes, 2023 - search.proquest.com
With the advantages of non-pollution and energy-saving, hydrogen fuel cell hybrid vehicles
(HFCHVs) are regarded as one of the potential traveling ways in the future. The energy …
(HFCHVs) are regarded as one of the potential traveling ways in the future. The energy …