HIGHLIGHTS
- who: Haitao Min et al. from the State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China have published the Article: An Energy-Efficient Driving Method for Connected and Automated Vehicles Based on Reinforcement Learning, in the Journal: Machines 2023, 11, 168. of /2023/
- what: The comparison of energy consumption per 100 km shows that the model has the best energy efficiency, reducing energy consumption by 9.3% compared to the model without prediction information, 21.9% compared to the model without considering energy efficiency, and 16.1% compared to the rule-based . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.