Concept for an Intermodal Traveller Information System with Real-Time Data Using Complex Event Processing

As a result of increased urbanisation, people tend to choose their transport more flexible using different transportation modes during one trip. Thereby it is crucial to keep the traveler up-to-date with real-time information during the journey. As the amount of incoming data in intermodal route planning services is growing consistently and the reaction to unexpected events has to be fulfilled in real-time, the need for a solution which is able to deal with this requirements is rising. Complex Event Processing (CEP) is a main component of an Event-Driven Architecture (EDA), which is used to analyze and act on real-time streaming data and was designed to solve big data problems. We propose a conceptual architecture and a prototypical implementation of an EDA for a real-time intermodal route guide (RTiG) to assist traveler on their journey by providing travel assistance information in real-time and thus reacting on unexpected events. Our evaluation results show that our conceptual architecture was able to process real-time data from multiple thousand users in μs.