Skip To Main Content
Ying-Chuan Ni on Muck Rack

Ying-Chuan Ni

As seen in: Nature
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Ying-Chuan

Contact Ying-Chuan, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

BikeZ-ETH – A Mass-Cycling Trajectory Dataset from a Controlled Experiment

|
By Kevin Riehl, Anastasios Kouvelas, Michail Makridis, Shaimaa K. El-Baklish, Ying-Chuan Ni
| Nature Verified
Abstract This dataset contains high-resolution bicycle trajectory data collected during a controlled mass-cycling experiment conducted on a circular test track at ETH Zurich. A total of 28 cyclists were recorded using aerial video over approximately 30 minutes. The experiment systematically varied the number of simultaneous cyclists and the effective lane width to capture a range of traffic density conditions, including free-flow, disturbed flow, and stop-and-go regimes.
Open in Who Shared Issue with article?
See all 1 articles