Optimization of mobility incentives in electric vehicle car sharing systems: A reinforcement learning framework
This work introduces a novel reinforcement learning (RL) framework for optimizing mobility
incentives in free-floating electric vehicle carsharing systems. User participation in relocation …
incentives in free-floating electric vehicle carsharing systems. User participation in relocation …
A Holistic Sustainable Transition Approach: Theory to Action
This chapter brings together the trends and methods and presents three case studies where
challenges of urban mobility are addressed through mixed methods approaches. The first …
challenges of urban mobility are addressed through mixed methods approaches. The first …
Reinforcement Learning Optimization of Mobility and Relocation Incentives for Carsharing Free-Floating Electric Fleets
The surging popularity of on-demand transport solutions and shared free-floating electric
vehicles offers significant promise in addressing urban mobility and sustainability …
vehicles offers significant promise in addressing urban mobility and sustainability …