Travel mode recognition as well as activity recognition has gained some momentum in recent years. Travel mode recognition can be viewed similarly as activity recognition and can be solved as a classification problem where Machine Learning is widely used in this area. The University of Birmingham and Hitachi Europe have jointly developed new, innovative AI models, capable of recognising the complex and fuzzy patterns of mobility and transport modes. In recent years, mobile sensing has gained a strong momentum in various technological applications in the Industry 4.0 era. The real-time mobile sensing actually allows extensive applications including the use of mobile sensing data for transport mode classification, which forms the basis of this research. Its future implementation on blockchain can promote and decentralise public users’ leaderships for sustainable mobility.
|Title of host publication||World Congress on Railway Research 2022|
|Publication status||Accepted/In press - 31 May 2022|
|Event||World Congress on Railway Research 2022: WCRR2022 - Birmingham, Birmingham, United Kingdom|
Duration: 6 Jun 2022 → 10 Jun 2022
|Conference||World Congress on Railway Research 2022|
|Period||6/06/22 → 10/06/22|