Applicable Industries
- Transportation
Use Cases
- Personnel Tracking & Monitoring
- Time Sensitive Networking
About The Customer
Mountain Line Transit Authority (MLTA) is a transit network that has grown over the past 25 years into a 24-line system serving approximately 1.3 million rides each year. The transit authority serves not only downtown Morgantown but also the more rural surrounding area and the large student population at West Virginia University. MLTA has always re-bid its services three times per year due to the university schedule. The COVID-19 pandemic posed a significant challenge to MLTA, disrupting its ridership and workforce.
The Challenge
Mountain Line Transit Authority (MLTA) has grown its small transit network into a thriving 24-line system serving approximately 1.3 million rides each year. The transit authority not only serves downtown Morgantown but also the more rural surrounding area and the large student population at West Virginia University. Due to the university schedule, MLTA has always re-bid its services three times per year, a daunting challenge for any agency. This challenge grew even more daunting when the COVID-19 pandemic struck, disrupting MLTA’s ridership and workforce. The team was spending a month completing a full service re-bid, which was a significant drain on resources and time.
The Solution
MLTA turned to Remix Scheduling to reduce the staff time spent on planned re-bids, as well as unplanned route and schedule changes brought about due to COVID-19. With Remix, the team was able to cut down the time spent on a full service re-bid from a month to just a week. They were also able to use Remix to quickly create multiple schedules that could be operated at different staffing levels, depending on what staff was available during the pandemic. For every new runcut they complete, the team knows that Remix will offer multiple options and make any tradeoffs easily apparent, so they can always select the best option. This solution has empowered MLTA’s team to spend less time on day-to-day tasks and more time on innovative solutions for the future.
Operational Impact
Quantitative Benefit
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