Smart Mobility
Description of Smart 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
Study of a use case that aims to evaluate the implementation of a dynamic traffic congestion management system in Barcelona.
Nexus Geographics has contacted inLab FIB, as mobility experts, in order to carry out a consultancy and analysis for the improvement of the Mou-te tool.
Research and development of a pilot disruptive traffic model, which takes advantage of the possibilities of the latest advances in computing, communications and data sources.
Design of new strategies, based on machine learning algorithms and data analysis, to improve the efficiency and performance of electric vehicle motors and batteries.
Development of tools to plan, manage and monitor demand responsive traffic (DRT) solutions.
Development of a service that allows the integration of data from the Eco-Comptadors private platform within the Sentilo platform of the Garriga City Council.