June 8, 2021
Data is often siloed across teams and software products. We believe bus speed and dwell time data should be more accessible to help push forward projects such as transit priority lanes, stop optimization, transit infrastructure, and before and after studies. This is why Swiftly and Remix are excited to announce that our partnership and integration is now live!
This partnership means you can now visualize Swiftly’s best-in-class historical speed and dwell time data in Remix’s best-in-class planning tool. Swiftly, which works with 100+ agencies, focuses on providing scalable data solutions for fixed-route bus networks, while Remix’s platform empowers thousands of planners to collaborate across multiple stakeholders with the end goal of creating holistic transportation networks. Read more about Swiftly and Remix's partnership as well as how we are working with the Maryland Transportation Administration here.
This Data Layer provides an interactive visualization of Swiftly’s Speed Map including historical bus speeds and dwell times within the Remix planning platform. Remix fetches this data dynamically from Swiftly’s APIs, providing you access to data as recent as yesterday and the ability to look at available historic data from any date range and time of day that you’re interested in.
The Data Layer visualizes average speeds and average dwell times for the selected bus lines along a single direction. The speed data is aggregated for stop-to-stop segments across the selected trips, while dwell times are averaged for individual stops.
“Being able to speak to where your service is getting bogged down (through Swiftly) and show directly how and what groups of riders are impacted by slow speeds (from Remix) helps the agency build a case when speaking with Capital Planning Teams or requesting grant funds,” says Nicholas R. Stewart, Chief of Transit Route Facilities at MDOT MTA.
See how Swiftly can improve service reliability at your agency with an in-depth demo.