Rethinking walking infrastructure: AI-assisted footpath network modelling

该项目旨在开发新的宏观和网络范围内的交通建模和优化方法，特别是适合大规模人行道网络规划应用的步行。该项目的预期成果是一种新的人工智能（AI）辅助工具，用于自动生成人行道网络属性，以及一组由真实世界个人步行轨迹数据驱动的平衡和非平衡寻求步行路线选择模型。该项目将逐步改变步行基础设施的交通规划，从而增加活跃的交通，改善城市基础设施规划，从而大大改善人口和环境健康。

The project aims to develop new macroscopic and network wide transport modelling and optimisation methodologies specific to walking suitable for large scale footpath network planning applications. The expected outcomes of this project are a novel Artificial Intelligence (AI) assisted tool for automated generation of footpath network attributes, and a set of equilibrium and non-equilibrium seeking walking route choice models driven by real-world individual walking trajectory data. This project will deliver a step-change in transport planning for walking infrastructure that will lead to increased active transport and improved urban infrastructure planning, thereby resulting in significant gains in population and environmental health.