Predictive Analytics and Real-time Traffic Control for Urban Corridors

城市走廊的预测分析和实时交通控制

• 批准号: LP200301389
• 负责人: Prof Majid Sarvi
• 金额: $ 53.2万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP200301389
• 关键词: Predictive; Analytics; Real; time; Traffic

This project aims to develop predictive data analytics and real-time traffic control and safety models for multimodal management of urban corridors, serving two salient objectives: (1) optimising person-throughput of multimodal traffic; while (2) minimising safety risks for all modes. The outcome will be an automated, sensor-based platform to monitor traffic flows from all modes and make proactive and coordinated control decisions in real-time. The expected benefits are profound; the developed algorithms and platform will significantly reduce traffic congestion, travel delays and safety risks for all modes of transport, especially for vulnerable road users (e.g. pedestrians and cyclists).

该项目旨在为城市走廊的多式联运管理开发预测数据分析和实时交通控制和安全模型，服务于两个突出目标：（1）优化多式联运的人员吞吐量;同时（2）最大限度地减少所有模式的安全风险。其结果将是一个基于传感器的自动化平台，用于监控所有模式的交通流量，并实时做出主动和协调的控制决策。预期的好处是深远的;开发的算法和平台将大大减少交通拥堵，旅行延误和所有交通方式的安全风险，特别是对弱势道路使用者（例如行人和骑自行车的人）。