The future of urban transport is changing fast, and traffic simulation is playing a crucial role in helping cities get ready for automated vehicles (AVs). By creating digital models of real-world traffic conditions, planners can test how AVs will interact with existing infrastructure and fine-tune their introduction—before they hit the streets.
Testing the future in Almere
In Almere, traffic simulation is helping shape two new automated bus lines. Using microsimulation, planners can analyze how these self-driving buses will move through the city, ensuring they fit smoothly into the existing public transport network. Early simulations focused on morning rush hours, revealing how AVs affect traffic flow and how different vehicle sizes impact efficiency. The next step? Running a 24-hour simulation to compare two scenarios: smaller shuttles running frequently versus larger buses with fewer departures.
Case study Antwerp?
For De Lijn, the focus is on how AVs can transform transport in Antwerp. A macrosimulation of the city’s network helps predict the impact of switching from traditional buses to automated shuttles and taxis. In a more detailed microsimulation of the city center, planners can test real-life interactions between AVs and other road users. The results? A better understanding of how to introduce AVs in a way that benefits passengers without disrupting existing transport services.
Why this matters
Traffic simulation isn’t just about numbers—it’s about making smart decisions before major changes happen. Instead of trial and error on busy streets, cities can test different AV strategies virtually, identify potential challenges, and adjust their plans accordingly. The case studies in Almere and Antwerp show how this approach helps create efficient, future-proof public transport systems that work for everyone.