A project by TUM and Hochschule München.

Traffic Calming Simulation Portal

Interactive web platform simulating traffic calming impacts in Fürstenfeldbruck, combining data analysis and citizen feedback for better planning.

Challenge

Understanding and predicting the effects of traffic calming measures on sustainability

How can traffic-calming measures affect mobility, environmental quality, and public acceptance in urban areas like Schöngeisinger Street in Fürstenfeldbruck?

Team

Sebastian Wiest, Simon Zass, Linus Vock, Niels Duske

Contact: 4916096784487

About the prototype

Our Traffic Calming Simulation Portal is an interactive web application that enables users to analyze and predict the impact of traffic-calming interventions in urban environments. Using real-time and historical data on traffic volumes, noise levels, emissions, and user feedback, the portal simulates various scenarios such as modal shifts, improved air quality, or pedestrian safety enhancements. The tool provides intuitive visualizations including interactive maps, timeline sliders, and performance dashboards to support evidence-based decision-making for city planners, researchers, and citizens. Additionally, the platform includes a public feedback module to capture perceptions of change and gauge acceptance. By combining environmental analytics, mobility data, and user experience, PEEMO aims to support sustainable and citizen-friendly city transformation.

Outputs

  • pdf
    project report

    Project Report of Team PEEMO

  • Credits: Photo by students