Congestion control in complex networks with higher-order interactions

具有高阶交互的复杂网络中的拥塞控制

• 批准号: DP240100963
• 负责人: Prof Mahdi Jalili
• 金额: $ 35.3万
• 依托单位: RMIT University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240100963
• 关键词: Congestion; control; complex; networks; higher

Traffic congestion significantly costs the Australian economy and environment. This project aims to develop ground-breaking network models of urban traffic systems to build a new congestion control framework. The purpose of network modelling is to capture the interdependence between different parts of traffic systems, which facilitates studying congestion cascade within the network. The project expects to generate next generation of network models for more effective congestion control. Expected outcomes include novel congestion control technologies that adjust traffic signals in real-time to optimally utilise the available road space. This should provide significant economic and environmental benefits to Australians by easing traffic jams.

交通拥堵大大损失了澳大利亚的经济和环境。该项目旨在开发城市交通系统的开创性网络模型，以建立一个新的拥塞控制框架。网络建模的目的是捕获交通系统不同部分之间的相互依赖性，这有助于研究网络中的拥堵级联。该项目预计将产生下一代网络模型，以进行更有效的拥塞控制。预期的结果包括新颖的拥塞控制技术，这些技术可实时调整交通信号，以最佳利用可用的道路空间。这应该通过放松交通拥堵为澳大利亚人带来巨大的经济和环境利益。