Smart City Gnosys
Smart city article details
| Title | E-Bike Navigation System For Safer Data Collection On Real-Time By Using Mobile Phone |
|---|---|
| ID_Doc | 21486 |
| Authors | Yamaguchi R.; Li D.; Siriaraya P.; Yoshihisa T.; Shimojo S.; Kawai Y. |
| Year | 2022 |
| Published | 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 |
| DOI | http://dx.doi.org/10.1109/PerComWorkshops53856.2022.9767282 |
| Abstract | As an important foundation of the smart city, MaaS (Mobility as a Service) provides a seamless passenger experience using multiple modes of transport from the beginning until the end of a journey, and its developments have attracted keen interest from the industry in recent years. In order to provide a safe and comfortable route for electric bicycle users, as a first trial in this study, we developed a navigation system for data collection which can collect data from the bike rider and mobile user in real-time. © 2022 IEEE. |
| Author Keywords | expression analysis; Mobility as a Service; route recommendation system |
