Car Sharing

Car sharing research focuses on optimizing various aspects of shared mobility systems, aiming to improve efficiency, user experience, and sustainability. Current efforts leverage deep learning, particularly convolutional neural networks and vision transformers, for tasks like automated vehicle inspection and demand prediction, often employing pre-training techniques to enhance model performance with limited data. Optimizing vehicle routing and assignment algorithms, such as those based on the VGA method, significantly reduces operational costs and improves service responsiveness. These advancements contribute to more efficient and effective car-sharing platforms, impacting both the transportation sector and the broader field of machine learning through the development and application of novel algorithms and data analysis techniques.