Digitalisation and the massive data it generates presents new opportunities to collect and analyse mobility data of people and goods. The AIT combines solid and profound know-how in machine learning, geo-spatial big data analytics and software engineering to develop techniques and solutions for planning applications and real-time transport management.
The increasingly wide use of sensors from ubiquitous devices such as smartphones, cellular networks, GPS devices etc. leads to a flood of machine-generated information. Ever-improving sensor technologies mean that this information is usually at a higher spatial or temporal resolution than was possible before, thus opening unprecedented opportunities for automated mobility data information processing and analysis
AIT takes advantage of this new wealth of mobility data and develops cutting edge techniques for unravelling large and complex sensor datasets for travel demand measurement from big data resource and mobility data analytics for dynamic and interactive transport management.