Google's General Transit Feed Specification (GTFS) and its real-time counterpart, GTFS Realtime, are helping improve the accuracy of public transportation information by standardizing transit feeds, which developers can utilize to create applications. This blog post illustrates the use of DeltaStream in processing New York City's real-time bus feed, adhering to the GTFS Realtime specification, to identify buses experiencing increasing delays. By integrating the bus feed data into a Kafka cluster and utilizing DeltaStream, users can set up data processing pipelines that detect significant delays and provide real-time updates on bus positions. The method involves creating streams for trip updates and vehicle positions, applying pattern recognition queries to identify growing delays, and executing interval joins to correlate delays with bus locations. This real-time processing can enhance the transit experience by offering more accurate arrival predictions and aiding city planners in addressing traffic issues. DeltaStream is presented as a tool that simplifies the deployment of stateful real-time computations, handling operational overhead and offering a free trial for interested users.