Understanding Mobility, Shaping the Future.
track4science is building an open research infrastructure for continuous, high-quality mobility data collection — privacy-compliant and scientifically rigorous.
The Challenge
Sustainable mobility needs reliable data
The mobility transition is one of the defining challenges of our time. Yet sustainable mobility solutions can only succeed if they are adopted by the people they are designed for.
Researchers need access to high-quality, representative mobility data — and this is precisely the gap: such data rarely exists with the necessary quality and continuity.
Lack of Data Infrastructure
Continuous, high-quality mobility data remains difficult for researchers to access.
Privacy Requirements
Sensitive location data demands the highest privacy and data protection standards.
Representativeness
Existing datasets often fail to capture the diversity of real-world mobility behavior.
Our Goal
An open platform for mobility research
track4science is building an open research infrastructure that continuously collects mobility data through a smartphone app. The pilot project launches on Bildungscampus Heilbronn.
Data Collection
Continuous via App
Open Data
For Research
Pilot Heilbronn
Bildungscampus
Activities
Our Approach
Pilot Study
We test smartphone-based data collection under real-world conditions on Bildungscampus Heilbronn and refine the entire process.
Open IT Infrastructure
Building a scalable, open-source infrastructure that will be made available to other research groups worldwide.
Quality Assurance
Systematic testing of reliability and representativeness measures to ensure scientific rigor of the collected data.
Field Experiments
Randomized experiments on behavioral interventions — we study how nudging can encourage more sustainable mobility choices.
Expected Outcomes
From pilot study to broad application
We aim to demonstrate that high-quality mobility datasets can be created without compromising participant privacy — laying the foundation for expansion to the general population.
Join nowPrivacy-Compliant Datasets
Demonstrating that high-quality mobility data can be collected under strict privacy regulations.
Scalable Methodology
Developing a proven methodology that can be transferred to larger populations and other regions.
Evidence-Based Interventions
Insights into which behavioral interventions actually promote sustainable mobility decisions.
Be part of
the study
Are you based on Bildungscampus Heilbronn? Become a participant and help us understand the mobility of tomorrow.
