×M6. Big Data analytics for smart cities

Many cities worldwide aspire to be smart cities. While this term refers to a journey rather than a final goal, it generally denotes greater participation by citizens and a more effective, efficient and sustainable urban infrastructure, including transport, health services, energy, waste management, emergency services, resource allocation and urban personal security, such as CCTV and street lighting. What is being done to achieve this smart city vision includes the deployment of internet of things (IoT) sensors, actuators and advanced analytics using machine learning (ML) and other OR techniques. Part of the process for achieving a smart city devolves on the public availability of data, sourced from both IoT sensors, personal communications devices such as mobile phones and government data repositories which have traditionally not been public. This session seeks contributions particularly from those working to advance the smart city vision in Australia.

Key topics: Smart cities, Big data analytics, Internet of things