AI Blog

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.

When is a digital twin not a digital twin?

The phrase “digital twin” has become ubiquitous in the field of transportation, but it has been applied so undiscriminatingly to so many different concepts that it is hard to know what people mean by it.

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.

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