Consulting
Next to our products, we also offer engineering consulting specialized in traffic simulations leveraging our digital twin technology.
Areas of Expertise
We develop data-driven traffic models to establish current conditions and inform planning. Our expertise includes scenario analysis, traffic forecasts, and evaluating infrastructure changes. We support decision-making through impact assessments and optimization strategies across all transport modes.
Establishing the Baseline Situation
- Model development (micro/meso/macro models)
- Time-dynamic origin/destination estimation (private motorized transport, public transport, cycling)
- ANPR analysis
- Development of traffic volume framework, e.g. AADT (private motorized transport, public transport, cycling)
- Clustering of traffic patterns
- Quality assurance in modeling
Mid-Term Scenario Forecasting
- Scenario studies / study of alternatives
- Speed limit zones / traffic calming
- Bypass roads
- Evaluation of network modifications
- Traffic management during construction phases
Impact Analyses and Monitoring
- Evaluation of traffic measures
- Bus lanes
- Bicycle lanes
- Construction-related impacts
- Traffic evaporation / induced traffic
- Development of traffic optimization concepts
- Lane reduction / repurposing
Case Studies
We’ve supported public authorities and engineering firms with data-driven insights for traffic planning and management. Below are selected case studies showcasing how our models and analyses have helped clients make informed, forward-looking decisions.
World Economic Forum
Traffic optimization during the Annual Meeting in Davos
A fascinating project we are currently working on is optimizing traffic in Davos during the Annual Meeting (World Economic Forum). Together with the municipality of Davos, we are using a model-based approach to analyze different measures to improve traffic flow in this unique setting.
The challenge lies in the distinct dynamics of traffic during the Annual Meeting: Unlike typical urban traffic, mobility patterns are heavily influenced by chauffeured trips, leading to different behaviors and demands. By conducting a detailed analysis of vehicle movements, we have developed a precise simulation model that allows us to test various scenarios and identify opportunities for improvement.
We are excited to see the insights this project will generate and look forward to contributing to better traffic management in Davos!
Canton of Zurich
Simulation Instead of Pilot Trials - a Cost-Effective Alternative
In collaboration with the Canton of Zurich, we are currently testing our model’s ability to accurately predict the impact of infrastructure measures. Specifically, we are replicating the results of a pilot project where turning lanes for motorized traffic were reallocated to bike lanes at a signalized intersection.
Our goal is to demonstrate that our model can reproduce these effects with such precision that costly pilot trials become unnecessary in the future. Instead, data-driven decisions can be made based on simulation results. This project is particularly exciting for us, as it allows us to validate our scenario analysis against real-world data—an important step in further refining and optimizing our simulations.