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
The inLab FIB, in collaboration with the Mossos d’Esquadra, has developed the proof of concept of an assistance tool for police response to everyday incidents based on artificial intelligence.
ITS Spain is a non-profit Association founded in 2002 with the objective of uniting the public, private and academic sectors related to Intelligent Transportation Systems
Project to support the development of theoretical concepts and practical tools applied to optimized routes in the field of on-demand transportation.
The eBRT2030 project will create a new generation of advanced, all-electric, urban and peri-urban European Bus Rapid Transit (BRT), enhanced with novel automation and connectivity functionalities to support sustainable urban transport.
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.