“Swiftly is a game changer”: Valley Metro improves OTP by 10%

Valley Metro had two primary goals

Goal 1:
Boost system-wide on-time performance

See OTP improvement

Goal 2:
Improve transit schedules using accurate historical data

Check out reduced slack

Valley Metro at a glance

Phoenix Metro Area, AZ

Fleet of 1,000 vehicles
across bus and rail

10M annual passenger trips

Goal 1: Boost system-wide on-time performance

Products:

  • Live Operations
    On-Time Performance
    Run-Times

Outcomes:

  • 10% improvement to system-wide OTP

  • 25%+ OTP improvement on one of Valley Metro's highest-ridership routes

  • 6% OTP improvement to all weekday rail

  • Captured OTP data for an additional 9% of stops with Swiftly Auto-Assigner

  • Corrected OTP data for 15% of stops previously mislabeled early or late

  • OTP reporting time dropped from 7 days to a few minutes, enabling proactive management

“
You have to manage service in the present. Using Swiftly really empowered the staff to get a big picture of what's happening, live. The level of confidence we gained with Swiftly is a game changer.”
—Head of Operations
“
With Swiftly, we gained instant access to what’s happening right now. We used that data to make meaningful schedule changes across the network, and our OTP jumped to over 85%—a historic gain.”
—Christopher MacKechnie, Manager, Transit Scheduling
Learn more

Goal 2: Improve transit schedules using accurate historical data

Products:

  • On-Time Performance
    Run-Times

Outcomes:

  • 20% of run-time slack removed from a single route, saving one bus from service, with no negative impact on OTP

  • Run-times reviewed and recalibrated on 18 routes per service change and 4 service changes per year

  • Early arrivals identified and corrected that were previously hidden between timepoints

  • Rail schedules improved significantly by splitting long lines into multiple shorter ones

“
One of our most extreme changes was cutting a route’s run-time by six minutes in each direction. OTP didn’t suffer at all—and we saved a bus. We’re continuing that process across the network.”
—Christopher MacKechnie, Manager, Transit Scheduling
“
I love looking at on-time performance by stop, not just by timepoint. What looked like perfect on-time performance in our previous system is actually padded run-time with early departures building up before the next timepoint. Now we can find that and fix it.”
—Christopher MacKechnie, Manager, Transit Scheduling
Learn more

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