Modelling and predicting patterns of pedestrian movement: using robotics and machine learning to improve the design of urban space.

在一个城市密度不断增加的地理区域，行人的问题很少从设计的角度考虑。其中一个原因是，在现有的城市空间中，很少有有用的工具可以用来分析行人的行为，也没有工具可以帮助设计师优化这些空间。因此，迫切需要开发设计工具，以便更好地理解公共空间中的行人。这个项目是世界上第一个结合城市设计理论和机器学习来创造更多社会和文化响应环境的项目。

In a geographic region that is experiencing increasing urban density, the problems of the pedestrian are rarely considered from a design perspective. One reason for this is that there are few useful tools available for analysing the behaviour of pedestrians in existing urban spaces, and none to assist designers to optimise such spaces. As a result of this, there is an urgent need for the development of design tools to enable a higher level of understanding of pedestrians in public space. This project is a world-first combining urban design theory and machine-learning for creating more socially and culturally responsive environments.