Modeling Taxi Feeder Routes to Optimize New BRT Network in Yaoundé, Cameroon

Yaoundé, the capital of Cameroon, is struggling to provide efficient public transport for its millions of residents. As part of their Master’s program in Sustainable Mobility, a student team from Germany joined the Mobilité Verte Yaoundé project to explore solutions.

Using PTV Visum and PTV Model2Go (M2G), they developed a detailed transport model to design taxi feeder routes that integrate with the city’s planned Bus Rapid Transit (BRT) network. Their analysis — based on zoning, population density, and accessibility studies — revealed how small adjustments can significantly improve reach and efficiency.

Despite challenges with data availability and modeling a fast-growing African city, the team delivered insights that demonstrate the power of digital tools in shaping sustainable transport.

This webinar will feature an interactive live interview with Niklas Matern, one of the students behind the project. He will share the methodology, challenges, and results, while answering your questions in real time; giving you a unique perspective on how the next generation of planners is driving change worldwide.