Swessi, Rania (Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800), EL KHALFI, Zeineb (CESI), Mosbah, Mohamed (Bordeaux INP)

Optimizing Shared Micro-Mobility: Transitioning to Virtual Docking and Demand Prediction for Enhanced System Balance

Scheduled for presentation during the Invited Session "Large-scale Smart Mobility" (FrAT2), Friday, September 27, 2024, 12:10−12:30, Salon 5

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on October 8, 2024

Abstract

Shared micro-mobility vehicles are perceived as an eco-friendly and cost-effective alternative to traditional public transportation, offering a new urban lifestyle choice. Depending on the strategy employed, micro-mobility companies typically manage their fleets through dock-based or free-floating systems. However, in recent years, the free-floating system has shown its limitations despite its flexibility: inefficiency due to disorganized parking and oversupply. On the other hand, systems based on virtual stations have demonstrated superior efficiency in addressing these drawbacks and incur lower costs than physical stations. This paper proposes a framework for an automated transition from a free-floating system to a virtual dock-based system. This approach uses multi-layer clustering techniques while maintaining high efficiency and service quality, providing demand forecasting within each station for system rebalancing.