Real-time intelligent recognition of transportation modes via smartphones

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.