Simulating a better world

Nick Jukes is the Co-ordinator of InterNICHE, the International Network for Humane Education. InterNICHE works to promote humane innovations in biology, medical and veterinary medical education across the world. These new learning methods include software for virtual laboratories and virtual reality, and hyper-realistic tissue models from developments in materials science. They harness the power of technology to enhance the education process, whilst facilitating the replacement of animal experiments. Humane tools are a success story in the evolving partnership of science education and ethics.

Efficient traffic management is an important research area for managing future traffic scenarios and policy-making to ensure the smooth flow of traffic in smart cities. This involves simulating what-if scenarios and creating policies to minimize their impact on traffic flow. Current approaches rely on statistical models to analyse traffic patterns and their impact on smart city resources. However, these approaches present an abstract and simplified view of the problem, which may not accurately reflect real-world conditions. In this talk, I will briefly introduce and present a demo of our AI enabled Smart city digital twin for predicting future transportation needs Of closed venues such as stadiums, airports, and museums. In this work, we use Milton Keynes (MK) Stadium as our case study and demonstrate the impact of pedestrian traffic flows on the surrounding traffic. Various what-if scenarios can be run to assess their impact, guide policymaking, with the goal to reduce congestion and improve user quality of experience.