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
The purpose of this project is to develop a proof of concept for the design, development, and experimentation of a simulation model for a specific section of a highway using available open-source tools.
The DS4MOBMODELS project aims to define and create an advanced Mobility Data Space that integrates transport and freight, traffic, and passenger data and models across various regions, such as Spain, the New Aquitaine–Basque Country–Navarre Euroregion, and the Central Region of Portugal.
The aim of the i-MovE project is to generate a collaborative data space that facilitates access to urban mobility information to all actors in the transport sector. This space will contain different types of data with different spatial and temporal aggregation frames.
Alphanet is a Catalan company that provides technology and services to local administrations to improve urban management and security.
Image processing and intelligent learning for the identification of parking spaces for people with reduced mobility.
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.