Access real-world driving behavior data, smartphone telematics SDKs, and structured datasets for academic research and educational programs. Damoov partners with universities, research labs, and transportation institutes to support studies in road safety, mobility patterns, driver behavior, and sustainable transportation.
Integrate smartphone-based data collection into coursework and thesis projects. Students and faculty get access to structured trip data, safety scores, and behavioral event datasets suitable for statistical analysis and modeling.
Run controlled experiments with configurable data capture, trip segmentation, and structured exports designed to align with study protocols and measurement requirements. Capture naturalistic driving data at scale.
Analyze mobility patterns, road safety metrics, exposure data, and driving behavior trends using scalable trip and location datasets collected through smartphone sensors across diverse geographies.
Quantify real-world driving risk factors — speeding, distraction, harsh braking, cornering — and evaluate the effectiveness of safety interventions using consistent, repeatable behavioral metrics collected over time.
Access anonymized, structured telematics datasets including trip traces, safety scores, driving events, and behavioral metrics. Data is available in standard formats (CSV, JSON) suitable for statistical analysis, machine learning, and transportation modeling.
Qualifying research institutions receive free access to Damoov’s telematics SDK, APIs, and DataHub platform for academic use. Integrate data collection directly into research apps, or use the open-source Zenroad app as a ready-made data collection tool.
Internship and mentorship opportunities for graduate and undergraduate students in engineering, data science, mobile development, and product management. Students work on real telematics challenges alongside the Damoov engineering team.
Collaborate with Damoov’s data science team on joint research papers, conference presentations, and technical publications. Damoov provides domain expertise, data validation support, and co-authorship opportunities for studies that advance the field of mobile telematics and driving behavior analysis.
STEP 1
Describe your research objectives, methodology, data requirements, and expected outcomes. Include information about your institution, principal investigators, and timeline.
STEP 2
Damoov’s research partnerships team reviews proposals, evaluates alignment, and provides feedback. Expect a response within three weeks of submission.
STEP 3
Finalize the partnership agreement, data access scope, ethical review requirements, and licensing terms. Damoov provisions platform access and assigns a technical contact for your project.
Collect naturalistic driving data using Damoov’s SDK (iOS, Android, Flutter, React Native) or the open-source Zenroad app. Configure trip detection sensitivity, sensor sampling rates, and data capture parameters to match your study design.
Visualize and explore collected data through the DataHub web console. Access driver profiles, trip timelines, scoring distributions, and fleet-level dashboards. Filter, segment, and review data before export.
Export structured datasets in CSV, JSON, or via API for use in R, Python, SPSS, or any analytics environment. Integration with BI platforms (Google Data Studio, Amazon QuickSight) is available for larger research programs.
Leverage Damoov’s pre-built scoring models for safety, eco-driving, and trust scoring, or request custom scoring configurations for your research. Access classified driving events (harsh braking, acceleration, speeding, cornering, phone distraction) with timestamps and severity levels for detailed behavioral analysis.
Partner with Damoov to offer best-in-class telematics solutions. Get in touch to learn more.