Optibus On-Time Analytics
Got Transit Data? Get Insights & Make it Better
Transit operations generate massive amounts of data, from AVL systems, ticketing systems and more. While these are used for reporting, mainly to analyze On Time Performance, this data can be further visualized and analyzed to deliver valuable operational insights. These insights, in turn, become valuable operational improvements for planners and schedulers.
Instant insight, Instant focus
- Understand on-time performance percentage across all your schedule – from the entire schedule and down to the single timepoint.
- Advanced filtering for each route, direction, pattern, and each stop within each trip
- Investigate & understand changes in on-time performance for different date periods, weekdays, and times of day
- Detect performance issues, and drill down to identify their root cause
Instant Changes, Immediate Action
Optibus analytics doesn’t just show your current state – it can also generate travel time adjustments that will support your On Time Performance goals.
You can download new travel times and begin your planning cycle with accurate data and a high likelihood of on-time performance success.
Popular Resources
eBook: 5 Critical Capabilities of a Modern Depot Operation
If you’re looking to increase operational efficiency across your organization, there are some must-have factors that your operational system should provide you with — and in this in-depth guide, we cover the top 5 of them.
eBook: Tackling the Driver Shortage
This in-depth guide is intended to help your organization learn how to tackle driver shortages head-on — with solutions on how you can better accommodate your drivers’ unique needs and preferences and how to create schedules that attract and retain drivers and overall increase driver happiness.
Webinar: The Time for Electric Buses is Now: How to Accelerate the Transition to #Zeroemission.
Join our upcoming webinar featuring industry leaders from across the globe as they share their insights and expertise on transitioning to EV, key challenges, and learnings.