An End-to-End Pipeline for Enriching and Analyzing GPS Trajectories

What is it about?

This study is about preparing raw GPS data for understanding cycling behavior in cities. Since the raw GPS points are often messy and hard to interpret, we developed a step-by-step pipeline to clean, organize and enrich them. The process involves fixing errors, matching the data to real streets, adding detailed road information, and calculating key metrics, such as distance, speed, time spent on different infrastructures. This approach enhances efficient GPS data preparation and facilitates a deeper understanding of cycling behavior and the cycling environment.

Featured Image

Photo by J. Balla Photography on Unsplash

Photo by J. Balla Photography on Unsplash

Why is it important?

Cycling is a crucial part of sustainable urban transportation. By improving the quality of GPS data, and adding semantic information to cycling routes, we can provide city planners with valuable insights into how cyclists use streets. This allows for the design of safer and better-connected cycling infrastructures, encouraging more people to cycle.