Apr 30, 2024 · This paper addresses the problem of optimizing energy consumption in ESs by jointly considering path and speed selection all while considering ...
This paper addresses the problem of optimizing energy consumption in ESs by jointly considering path and speed selection all while considering user ...
The results showed that the proposed approach saved nearly 53-67% of energy for regenerative braking cases and 25-55% for non-regenerative braking cases when ...
Reinforcement Learning-Based E-Scooter Energy Minimization Using Optimized Speed-Route Selection ; ISSN (Electronic): 2169-3536 ; Publication date Created: 2024.
... {Reinforcement Learning-Based E-Scooter Energy Minimization Using Optimized Speed-Route Selection}, journal = {IEEE Access}, year = 2024, volume = {12} ...
on energy consumption for RB and NRB cases from publication: Reinforcement Learning-Based E-Scooter Energy Minimization Using Optimized Speed-Route Selection ...
Reinforcement Learning-Based E-Scooter Energy Minimization Using Optimized Speed-Route Selection. IEEE Access 12: 66167-66184 (2024). [+][–]. Coauthor network.
from publication: Reinforcement Learning-Based E-Scooter Energy Minimization Using Optimized Speed-Route Selection | In the evolving urban transportation ...
Reinforcement Learning-Based E-Scooter Energy Minimization Using Optimized Speed-Route Selection. K. Aboeleneen, N. Zorba, und A. Massoud. IEEE Access ...
It introduces the idea of optimizing resource distribution while considering the context and highlights the potential of using deep reinforcement learning (DRL).