Planning and managing road transport systems for extreme events through spatial enablement
通过空间支持规划和管理应对极端事件的道路运输系统
基本信息
- 批准号:LP140100369
- 负责人:
- 金额:$ 15.86万
- 依托单位:
- 依托单位国家:澳大利亚
- 项目类别:Linkage Projects
- 财政年份:2015
- 资助国家:澳大利亚
- 起止时间:2015-05-21 至 2020-09-10
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Transport infrastructure is one of the seven types of nationally significant critical infrastructure identified federally to ensure the continuity of essential services in the face of extreme events including terrorist attacks and natural disasters. This project aims to provide tools for determining the most cost efficient schedule of preventative strengthening works for road networks for reducing the disruption and recovery costs after extreme events. The project aims to develop a novel platform for increasing the resilience of road networks by blending transport resilience modelling and structural health vulnerability analysis of road infrastructure into one integrated spatially enabled road transport planning system.
交通基础设施是联邦政府确定的七种具有全国重要意义的关键基础设施之一,以确保在恐怖袭击和自然灾害等极端事件面前基本服务的连续性。该项目旨在提供工具,用于确定最具成本效益的公路网预防性加固工程时间表,以减少极端事件后的中断和恢复成本。该项目旨在开发一个新的平台,通过将道路基础设施的运输复原力建模和结构健康脆弱性分析融入一个综合空间功能化道路运输规划系统,提高道路网络的复原力。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Prof Majid Sarvi其他文献
Prof Majid Sarvi的其他文献
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{{ truncateString('Prof Majid Sarvi', 18)}}的其他基金
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 - 财政年份:2023
- 资助金额:
$ 15.86万 - 项目类别:
Linkage Projects
A real-time modelling of crowd dynamics for disaster prevention
防灾人群动态实时建模
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DP160103291 - 财政年份:2016
- 资助金额:
$ 15.86万 - 项目类别:
Discovery Projects
Innovative tools to improve station design and management of crowds in emergency and panic conditions
用于改善紧急和恐慌情况下车站设计和人群管理的创新工具
- 批准号:
LP120200361 - 财政年份:2013
- 资助金额:
$ 15.86万 - 项目类别:
Linkage Projects
Innovative urban traffic congestion solutions: optimising road space using networks of multi-class priority lanes
创新的城市交通拥堵解决方案:利用多级优先车道网络优化道路空间
- 批准号:
DP120102392 - 财政年份:2012
- 资助金额:
$ 15.86万 - 项目类别:
Discovery Projects
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