Real-time intelligent recognition of transport modes and mobility patterns via smartphones

Birmingham scientists have collaboratively worked with Hitachi Europe to develop a new artificial intelligence embedded in smartphone that helps to recognise transport and mobility patterns in real time. 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.