Detecting Statistically Significant Delays in Public Transport Systems Using Streaming Analytics

The core message of this article is to propose a Streaming Delay Change Detection (SDCD) method that can identify statistically significant delays and delay changes in public transport systems in near-real-time, using stream processing techniques and change detection algorithms. This allows for the detection of repetitive disruptions rather than occasional fluctuations, providing a basis for updating public transport schedules to reflect regular delays.