Smart Mobility
Description of Intelligent Mobility
We are experts in the management of urban and interurban mobility by solving problems of both public transportation systems and traffic generated by private vehicles.
- Treatment of new mobility concepts: car sharing, on-demand transportation, connected vehicle, electric vehicle, autonomous vehicle, etc.
- Management of new transportation/mobility modes and services: bike sharing, bike sharing, scooters, etc.
- Processing of mobility and traffic data from new sources: GPS, mobile, Bluetooth detection antennas, social networks, etc.
- Mathematical optimization models: routing, location or assignment algorithms to improve the efficiency of current mobility services.
- Simulation: use of traffic simulation software (macro, meso or microscopic), emission and air quality simulation to make predictions about possible mobility scenarios.
- Artificial intelligence and data science: machine learning algorithms to make traffic, parking, demand or vehicle occupancy predictions.
Smart Mobility Success Stories
Improve accessibility for People with Reduced Mobility (PRM) on the different modes of transport linked to the MTA and improve the user’s experience of the rail network map.
The aim of this project is to deepen the exploitation of new passive sources of ICT data to obtain mobility patterns.
Design and development of a central interface (API) that integrates all the services developed by other working groups.
Creation of the demand model and mobility demand forecast over a 25-year horizon.
Collaboration with Intelibus in the project for the characterisation and modelling of passenger demand in buses.
Developer of mathematical optimization algorithms to solve the corresponding problems of demand allocation and routing for heterogeneous fleets of vehicles.