Smart Mobility, Transports & Logistics

The term smart mobility refers to: Better mobility, less congestion, more safety and security, by reconciling the growing mobility needs with improved transport fluidity, through innovative solutions for seamless, inclusive, affordable, safe, secure and robust transport systems. At GRIS, we are contributing for the deployment of innovative mobility solutions, including the use of ICT and satellite navigation technologies, integrating existing services via single interfaces, and optimising the role of data and connectivity (e.g. internet of things) as driving factors. These includes:

 

- Capture and processing data from the existing traffic management and monitoring services, traffic status information, historical data about the traffic, traffic means, transport topologies, external traffic monitoring information, environmental and social data and social media information.

- Development and test prediction methods that can be used in the real-time on the vast amount of multimodal data. Common to data-driven approaches is the modelling of system output (but not necessarily of the mechanics of the system) using historical data.

- Usage of statistical and machine learning methods to: (a) predict and describe complex events in the mobility network that will appear with some certainty in a particular time and particular place and (b) predict travellers demand for various time scales, (c) predict traffic network failures and anomalies.