University: California State University, Los Angeles
Status: In progress
The City currently does bicycle and pedestrian counts via having a person manually count the number of cyclists and pedestrians that go through an intersection via a video capture. However, thanks to advances in machine vision technology, we can now automate that, allowing us to constantly count the number of pedestrians and cyclists, rather than only doing a 24-hour sample. This project is a proof of concept of how we could count the number folks moving through our streets. CSULA students are working on the project.