Collaborative Research: Flexible Multi-Scale Models of Transportation Network Service Recovery

合作研究：交通网络服务恢复的灵活多尺度模型

• 批准号: 1361116
• 负责人: Joost Santos
• 金额: $ 21.59万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-01 至 2018-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1361116&HistoricalAwards=false
• 关键词: Collaborative; Research; Flexible; Multi; Scale

The objective of this award is to transform emergency response planning for transportation service disruptions through the formulation and integration of hierarchical multi-scale models: (i) network optimization and expected covering models to evaluate strategies for allocating emergency responders across highway networks, and (ii) an economic interdependency model to optimize the multi-sector, multi-regional impacts of emergency response strategies on overarching productivity objectives. In the first tier of the modeling hierarchy, the PIs will formulate new transportation network optimization models to identify optimal configurations of emergency responders and dispatching protocols for resolving prioritized incidents based on utility and coverage metrics. In the second tier of the modeling hierarchy, the PIs will formulate an economic interdependency model to evaluate the efficacy of transportation network service strategies in minimizing congestion and higher-level objectives such as disruptions to workforce and commodity flows, economic loss, and sector inoperability. If successful, the results of this research will enhance the capability of transportation planners and emergency managers through flexible models for deploying emergency responders to resolve varying incident priorities, as well as expanding the optimization focus to include large-scale interdependent impacts due to disruptions in workforce and commodity flows. This research will benefit society through an integrated framework for managing transportation resources from tactical (response) to strategic (multi-sector, multi-region impact) levels. The results have the potential to inform national guidelines for managing disruptions to critical interdependent infrastructure systems. Broader dissemination to the general public will be achieved via the creation of Internet-based research blogs and videos to explain the role of optimization, probability modeling, queuing, and regional economic analysis in modeling important service enterprise and public safety applications.

该奖项的目的是通过层次多尺度模型的配方和整合来改变运输服务中断的紧急响应计划：（i）网络优化和预期的涵盖模型，以评估在高速公路网络中分配紧急响应者的策略，（ii）经济相互依存模型以优化多层局部响应的经济相互依存模型，以多种措施构成应急策略的效果，使得策略具有超越效率的效率。在建模层次结构的第一层中，PI将制定新的运输网络优化模型，以确定紧急响应者的最佳配置，并派遣协议，以根据实用性和覆盖量指标来解决优先事件。在建模层次结构的第二层中，PI将制定一个经济相互依存模型，以评估运输网络服务策略在最小化缔合和高级目标（例如劳动力和商品流，经济损失和行业不可用性）等高层目标方面的疗效。如果成功，这项研究的结果将通过灵活的模型来增强运输计划者和应急管理人员的能力，以部署紧急响应者解决各种事件的优先级，并将优化重点扩大到包括由于劳动力和商品流中的中断而包括大规模相互依存的影响。这项研究将通过一个综合框架来使社会受益，以管理从战术（响应）到战略（多部门，多区域影响）水平的运输资源。结果有可能告知国家准则，以管理对关键相互依存的基础设施系统的中断。将通过创建基于Internet的研究博客和视频来解释优化，概率建模，排队和区域经济分析在建模重要的服务企业和公共安全应用程序中的作用。