Improving Resilience of Adaptive Capacity in Traffic Networks with Intelligent Systems and Advancd Methods

利用智能系统和先进方法提高交通网络适应能力的弹性

• 批准号: RGPIN-2015-05299
• 负责人: Khan, Ata
• 金额: $ 1.82万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636260
• 关键词: Improving; Resilience; Adaptive; Capacity; Traffic

This research program is aimed at enhancing the sustainability of urban transportation by improving “resilience of adaptive capacity” in traffic networks in order to prevent extreme congestion under nature-induced or other disruptions. Research products consisting of intelligent technology, predictive models, and traffic management decision aids are needed for this purpose. Resilience is defined as the ability to resist the loss of traffic-serving capability owing to inherent characteristics (i.e. the inherent resilience) and by dynamically activating capacity-enhancing measures (called the dynamic resilience).

该研究计划旨在通过提高交通网络的“适应能力的弹性”来提高城市交通的可持续性，以防止自然或其他中断引起的极端拥堵。为此目的，需要由智能技术、预测模型和交通管理决策辅助工具组成的研究产品。弹性被定义为抵抗由于固有特性（即固有弹性）和通过动态激活能力增强措施（称为动态弹性）造成的交通服务能力损失的能力。