Off-road run-ins for driverless fleets

Carlos Holguin from the University of Rome, project coordinator with the CITYMOBIL2 project, talks about how the project is demonstrating automated road passenger transport through large and small-scale off-normal traffic ...

An agent-based model that analyzes commuters' travel data

The introduction of smartcard ticketing for Singapore's public transport system has enabled A*STAR researchers to provide valuable predictive data on potential train overloading.  This will enable system planners to address ...

Physicists create model to predict traffic patterns

Researchers at the University of Notre Dame have designed a simple, yet highly accurate traffic prediction model for roadway transportation networks. They have recently published their work in the journal Nature Communications.

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