On-time performance is the cornerstone of a great passenger experience. With new technologies such as machine learning, planning and scheduling for on-time performance is transformed, deeply impacting scheduling efficiency and passenger service.
Our OnTime capability uses machine learning and external real-time data to tell how likely are transit operations to run on-time and to suggest improvements.
This webinar discusses on-time performance in general and how Optibus OnTime changes the scheduling process.
Register for the replay to learn about:
- The two main contributors to the on-time performance challenge
- How do transit operators address these challenges with the current tools available – is AVL enough?
- What concerns transit operators the most – rider loyalty or penalties?
- Optibus OnTime demo