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Multilane Automated Driving With Optimal Control and Mixed-Integer Programming [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
Bộ sưu tập: Metadata
ddc:  629.89
 
Efficient and Collision-Free Anticipative Cruise Control in Randomly Mixed Strings [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2018
Bộ sưu tập: Metadata
ddc:  629.89
 
Connectivity-Enhanced Route Selection and Adaptive Control for the Chevrolet Volt [electronic resource] : Preprint
Tác giả:
Xuất bản: Golden Colo Oak Ridge Tenn: National Renewable Energy Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2014
Bộ sưu tập: Metadata
ddc:  629.89
 
Connectivity-enhanced route selection and adaptive control for the Chevrolet Volt [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Office of the Assistant Secretary of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2016
Bộ sưu tập: Metadata
ddc:  621.312
 
Cooperative and Integrated Vehicle and Intersection Control for Energy Efficiency (CIVIC-E�) [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Office of the Assistant Secretary of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2018
Bộ sưu tập: Metadata
ddc:  629.2
 
A Minimum Principle-Based Algorithm for Energy-Efficient Eco-Driving of Electric Vehicles in Various Traffic and Road Co...
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
Bộ sưu tập: Metadata
ddc:  643.9
 
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem [electronic resource]
Tác giả:
Xuất bản: Golden Colo Oak Ridge Tenn: National Renewable Energy Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
Bộ sưu tập: Metadata
ddc:  621.873
 
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