Invention Reference Number
Understanding and analyzing patterns of movement and activity dynamics—whether human, animal, or vehicular—presents a growing challenge as well as opportunity in today’s data-rich world. TraKit is a flexible software framework that enables scalable analysis of spatiotemporal mobility data, offering a practical solution for extracting insights from large-scale simulations as well as real-world mobility datasets. Designed to support a wide variety of applications, TraKit helps identify trends, evaluate behaviors, and benchmark movement patterns across populations or systems.
Description
TraKit addresses the complexity of deriving actionable information from mobility data by introducing a structured workflow for calculating a broad library of metrics, signals and characteristics without needing to recompute from raw input for each use case. By incorporating few fundamental pre-processed data layers, the system allows for efficient analysis and benchmarking at different levels—from individuals to entire populations. It includes tools for comparison against empirical and theoretical standards, enabling users to assess the quality and realism of movement data. TraKit is particularly well suited for use in geospatial analytics, national security, urban planning, and other domains where understanding movement is key to decision-making.
Benefits
- Streamlines computation of diverse mobility metrics, signals and characteristics from large datasets
- Provides benchmarking and comparative scoring tools
- Enables scalable, custom analysis at individual, mesoscopic or entire population levels
Applications and Industries
- Urban planning and transportation analytics
- National security and emergency response
- Retail behavior and marketing strategies
- Epidemiological modeling and public health
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.
