On Trial of Multidisciplinary Optimization to Actualized Level 4 Mobility as a Service (MaaS) Platform
摘要
Mobility as a Service (MaaS) is a service that is designed to provide users with seamless mobility while also bringing about positive impacts on the economy, society, transportation, and the environment. In this study, a tourist spot is selected from a pre-determined group of destinations, and a complex domain optimization is performed using both quantitative and qualitative data. An on-demand bus route optimization system is also used, which considers the needs of the residents. The system then proposes a sightseeing route that is close to both the customer and the management, as well as a sightseeing route after the complex area optimization. This will lead to the development of a MaaS system for Level 4, which will be beneficial to all three parties involved: residents, customers, and the system management and operation side.