Real-time Analytics on Urban Trajectory Data for Road Traffic Management (2019–2022)
This project aims to develop advanced data management and predictive analytics capabilities to enable road
operators and traffic managers to apply insights from multi-modal mobility data to inform decision making in transport network management. Traditional traffic data collected from fixed sensors provide a limited view of network traffic and are unable to capture how a small disruption in traffic movements may ripple through the whole network. This project will demonstrate how transport operators can leverage emerging urban trajectory data from mobile sensors to obtain a holistic multi-modal view of transport networks, better understand the network-wide
impacts of their decisions, and, thus, enable city-wide optimization of network flows.