Traffic Simulation Lifetime Achievement premi won by Dr. Jaume Barceló

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The “Traffic Simulation Lifetime Achievement Award”  recognises  an extended series of scientific and/or professional contributions over the course of at least 20 years. Jaume Barceló was honoured based on his contributions to the development of microscopic traffic simulation. During the official ceremony, the chairman of the Transport Research Group TRB Committee explicitly mentioned Barceló’s contributions […]

The Traffic Forecasting problem

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Nowadays, cities must address the challenge of sustainable mobility. Traffic state forecasting plays a key role in mitigating traffic congestion in urban areas. For example, predicting path travel time is a crucial issue in navigation and route planning applications.

Jaume Barceló named professor emeritus at the UPC

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On June 21, the Governing Council of the university approved the nominee of Jaume Barceló member of the InLab FIB, attached to the Department of Statistics and Operations Research, and linked to the Faculty of Mathematics and Statistics (FME) and the Faculty of Computing of Barcelona (FIB).

InLab team winner of the RailMap Challenge

RAIL MAP CHALLENGE

The 5th and 6th of October will be held in the RAIL MAP CHALLENGE, a 24 hour hackathon organized by ATM and SmartCatalonia. It has been creating, designing and programming new ways to interact with the map of the public transport network. railway station in the metropolitan area of Barcelona. The first prize was won […]

El Virtual Mobility Lab recibe el Premio ITS en Tráfico Urbano

Premi ITS

During the XIV edition of the Spanish Congress about Intelligent Transport Systems (ITS), celebrated from Aprils 17 to Aprils 19 in Madrid, Lídia Montero from inLab FIB and Daniel Serra from CARNET have collected the prize about ITS on the Urban Transit category. The entity that has awarded the project, Forum of New Technologies on the Transport: ITS […]

InLabers winners of the Hackathon Mobility BCN

Hackathon mobility

The objective was to form interdisciplinary teams to create applications that can provide solutions to future mobility problems. The competition was planned participation in three possible categories: Social Mobility: waking up the Machines (use of information and technologies for the design of more sustainable mobility), AI for Mobility and Driving Experience (use of artificial intelligence […]

Integrating data through the BIG IoT API

Architecture Overview

In the current world we have smart objects providing data (such as parking detectors telling which parking spots are currently available), and smart-objects/applications willing to find this data (such as an intelligent car or mobile applications looking for available parking). However, how can these components automatically discover and communicate among themselves? This is, in fact, […]