Smart Mobility

 This area encompasses:

• Management of new mobility concepts: vehicle sharing, transport on demand, connected vehicle, autonomous vehicle, etc.
• Advanced processing of traffic and mobility data: collection, filtering and merging. Use of ICT data to improve traffic simulation models.
• Data-driven models based on artificial intelligence and machine learning methods for the prediction of traffic variables (travel time or speeds at urban and interurban level), parking availability, vehicle occupation, etc.
• Vehicle fleet management using real-time routing algorithms.
• Evaluation (by simulation) of air quality by different proposals to improve mobility.
• Micro, meso and macroscopic traffic simulation.

 Our services:

• Expert advice / consultancy on issues related to intelligent mobility, intelligent traffic management and public transportation systems
• Simulation and visualization of current and future scenarios with new concepts of vehicles and mobility implemented on an urban scale in realistic scenarios
• Advanced analysis of traffic and mobility data
• Algorithms for filtering, completing and spreading data
• Application of machine learning techniques to predict the state of traffic, parking availability or transport fleets occupation
• Prediction of air quality based on emissions generated by transportation
• Calibration of traffic simulation models with next generation data
• Applications and services to support mobility and intelligent traffic management
• Design and development of dynamic routing and fleet management algorithms
• Design of the optimal location of sensors, charging points, vehicle sharing service stations and other infrastructures in the city
• Analysis and improvement of intermodal and transport processes.