E Scooter

Electric scooter (e-scooter) research primarily focuses on improving safety and efficiency. Current efforts concentrate on developing robust object detection systems, often employing deep learning architectures like YOLO and MobileNet, to enhance collision avoidance capabilities for both autonomous and human-operated scooters. Data-driven energy consumption modeling, using machine learning algorithms, aims to optimize e-scooter usage and improve trip planning. These advancements are crucial for integrating e-scooters safely and sustainably into urban transportation systems.