Rethinking walking infrastructure: AI-assisted footpath network modelling

重新思考步行基础设施：人工智能辅助的人行道网络建模

• 批准号: DP220102382
• 负责人: A/Prof Meead Saberi
• 金额: $ 29.08万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-03-15 至 2025-03-14
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220102382
• 关键词: Rethinking; walking; infrastructure; AI; assisted

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.

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，具体适用于大规模的人行道网络规划应用。该项目的预期成果是一种新的人工智能辅助工具，用于自动生成人行道网络属性，以及一套由现实世界个人步行轨迹数据驱动的均衡和非均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，从而增加主动交通和改善城市基础设施规划，从而在人口和环境健康方面取得重大进展。