Reinforcement Learning-Based E-Scooter Energy Minimization Using Optimized Speed-Route Selection

Reinforcement Learning-Based E-Scooter Energy Minimization Using Optimized Speed-Route Selection

<p dir="ltr">In the evolving urban transportation, the emergence of Micro-Mobility (MM), symbolized by Electric Scooters (ESs), has become a pivotal response to private automobiles’ environmental and logistical challenges. However, the limited battery capacity of ESs presents a chall...

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Bibliographic Details
Main Author: Karim Aboeleneen (21841766) (author)
Other Authors: Nizar Zorba (16888728) (author), Ahmed M. Massoud (16896417) (author)
Published: 2024
Subjects:
Engineering
Manufacturing engineering
Information and computing sciences
Artificial intelligence
Machine learning
Electric scooters
reinforcement learning
energy minimization
user dissatisfaction
route and speed selection
Roads
Energy consumption
Minimization
Vehicle dynamics
Temperature
Resistance
Mathematical models
Electric vehicles
Reinforcement learning
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