AI Blog

Towards ML-assisted traffic simulation

Machine learning can assist traffic simulation systems and reduce computational effort by providing network-wide traffic state estimation under unseen conditions.

What is a digital twin?

The phrase “digital twin” has become ubiquitous in the field of transportation, but what does it really mean?

Mobility pattern prediction

Unlike purely data-driven methods, a simulation-based approach enables prediction of traffic states under recurrent conditions but also to predict the impact of incidents or changes to traffic control plans.

Real-time simulation training for traffic managers

When Main Roads Western Australia installed a new traffic management system, their staff needed to learn how to use it in a realistic but risk-free environment – simulation training was the perfect solution.

Seamless door-to-door air travel

how the IMHOTEP research project is using simulation technology to improve airport management and ease the many pain points for customers traveling to and from busy airports.

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