Transport for London (TfL) moves people and things around London. As the city grows, it is increasingly important to get the most efficient use of its transportation networks, safely, while keeping them moving.
TfL uses a wide range of data for operational purposes, but the underlying data is typically held in multiple disconnected systems. Freedom of Information requests have helped prove the value of sharing this data. TfL is embarking on a journey to make more of this data open and available in real time.
TfL and WSO2 have been working together on broader integration projects. Roland Major and Sriskandarajah Suhothayan share the evolving big data and IoT architectures and services TfL is building to pull together these diverse datasets to better support operational teams and accelerate the identification and classification of disruption to improve response times for incidents. In particular, they explore WSO2’s solution, which emerged from the Data in Motion hackathon organized by TfL, AWS, and Geovation. The solution innovates TfL’s heterogeneous data sources through the combination of the TfL Unified API and its operational data sources, including traffic sensor, air quality, and passenger flow data, to provide better travel time and transit suggestions for Londoners and tourists using the WSO2 Data Analytics Server, WSO2 Complex Event Processor, and WSO2 API Manager, bringing together IoT and big data techniques to feed a real-time dashboard of current and predicted transport network status.
Sriskandarajah “Suho” Suhothayan is an associate director and architect at WSO2, where he focuses on real-time and big data technologies and provides technology consulting on customer engagements such as quick-start programs and architecture reviews. Suho is also a visiting lecturer at Robert Gordon University’s IIT Campus in Sri Lanka, where he teaches big data programming. He drives the design and development of Siddhi-CEP—a high-performance complex event processing engine that emerged from his academic studies—and has published several papers on real-time complex event processing systems. He holds a BSc in engineering from the University of Moratuwa, Sri Lanka, where he specialized in computer science and engineering.
Roland Major is an enterprise architect at Transport for London, where he works on the Surface Intelligent Transport System, which is looking to improve the operation of the roads network across London and provide greater insight from existing and new data sources using modern data analytic techniques. Previously, Roland worked on event-driven architectures and solutions in the nuclear, petrochemical, and transport industries.
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