DEVELOPMENT AND CONTROL OF PERSONAL MOBILITY PLATFORM FOR MULTI-HIERARCHY LAST MILE TRANSPORTATION

Abstract

Last mile transportation (LMT) is a challenging topic in implementing eco-friendly transport systems in modern cities. However, the lack of it promotes a reliance on private vehicles which results in more traffic congestion, pollution, and urban sprawl. Therefore, the LMT is a crucial part of city planning and challenges, such as the diversity of routes and travellers and the sporadic nature of demand, should be overcame. Different solutions to the last mile problem have been proposed over time and much research has been focused on implementing a shared fleet of vehicles in achieving this goal. However, there is a need to have an effective way to redistribute the fleet as diverse commuter patterns can lead to uneven distribution of the fleet. In the thesis, a system platform is proposed and designed to synergize between the autonomous driving and the remote driving to provide an effective LMT.