Walkwise

Scripts and web app to implement and visualize Kalman filtering and Map-Matching algorithms for GPS time-series data. For use in preprocessing the training data for Caspar Lant’s (Columbia CS PhD.) Walkwise model, which predicts pedestrian intent at intersections. Awarded $1000 from CS3 Accelerator for future development.