Smart Mobility
Description of Smart Mobility
We are experts in the management of urban and interurban mobility by solving both problems of public transport systems and traffic generated by private vehicles.
- Treatment of new mobility concepts: shared vehicle, transport on demand, connected vehicle, electric vehicle, autonomous vehicle, etc.
- Management of new modes and transport/mobility services: shared bicycle, shared motorcycle, 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 allocation 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 predict traffic, parking, demands or vehicle occupancy.
Success Stories of Smart Mobility
SORT (Sustainable Optimization of Route Transport)
eBRT project will create a new generation of BRT before 2030
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.
