Sipresk: A Big Data analytic platform for smart transportation

Abstract

In this paper, we propose a platform for performing analytics on urban transportation data to gain insights into traffic patterns. The platform consists of data, analytics and management layers and it can be leveraged by overlay traffic-related applications or directly by researchers, traffic engineers and planners. The platform is cluster-based and leverages the cloud to achieve reliability, scalability and adaptivity to the changing operating conditions. It can be leveraged for both on-line and retrospective analysis. We validated several use cases such as finding average speed and congested segments in the major highways in Greater Toronto Area (GTA).