SBIR Phase I: Testing computational feasibility and effectiveness of real time traffic nearcast for wildfire evacuation at the wildland urban interface

SBIR 第一阶段：测试荒地城市界面野火疏散实时交通近播的计算可行性和有效性

• 批准号: 2322210
• 负责人: Sarah Lindbergh
• 金额: $ 27.5万
• 依托单位: WUI-GO, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-12-15 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2322210&HistoricalAwards=false
• 关键词: SBIR; Phase; Testing; computational; feasibility

The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project is to reduce the time for residents to evacuate to safe destinations by providing personalized evacuation guidance, resulting in lower risk to life and smoother government operations during a wildfire. Wildfires are an increasingly prevalent disaster; 50 million U.S. homes are currently in the Wildland-Urban Interface (WUI) areas. This project aims to empower residents in WUI communities by developing services that provide real-time information and personalized evacuation guidance during wildfires. Such services also supplement the actions of emergency response agencies that are often overloaded during wildfires due to resource and workforce constraints. The lessons learned through this project can be applied to other natural or man-made disasters, benefiting many more U.S. citizens. This technology will create highly skilled jobs and increase partnerships between academia, industry, government, and wildland-urban interface communities. This technology innovation searches for the best evacuation strategies on digital replicates of the Wildland Urban Interface (WUI) using real-time traffic nearcast simulations that are dynamic and adaptive. These strategies are then be provided to evacuees as real-time, individualized routing guidance to safe destinations. The technology will also provide communications abilities, situational awareness, and an optimization platform for emergency response agencies. The project adopts the latest digital twin (DT) technology to revolutionize static planning methods and evacuation plan information distributed in leaflets. Specifically, for wildfire evacuation, the DT framework involves versatile simulations of the fire, communications, and traffic flow; Is designed to incorporate infrastructural parameters such as the road network, environmental parameters, as well as behavioral parameters of both the evacuees and the emergency managing agencies. The technical scope of this project focuses on the development and demonstration of a real-time solution based on DT simulation technology that improves a series of emergency evacuation metrics, including the total evacuation times, fire exposure times, and traffic congestion. Numerical validation against observed data and computational speed testing will be carried out to quantify the effectiveness and computational efficiency in order to build a baseline understanding of the performance of the solution, and subsequently establish confidence in real-life implementation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这一小型企业创新研究（SBIR）第一阶段项目的更广泛/商业影响是通过提供个性化的疏散指导来减少居民疏散到安全目的地的时间，从而降低生命风险，并在野火期间使政府运作更加顺畅。野火是一种越来越普遍的灾害;目前有5000万美国家庭位于荒地-城市界面（WUI）地区。该项目旨在通过开发在野火期间提供实时信息和个性化疏散指导的服务，增强WUI社区居民的能力。这些服务还补充了应急机构的行动，这些机构在野火期间往往因资源和劳动力的限制而超负荷工作。通过这个项目吸取的经验教训可以应用于其他自然或人为灾害，使更多的美国公民受益。这项技术将创造高技能的工作岗位，并加强学术界、工业界、政府和荒地-城市界面社区之间的伙伴关系。这项技术创新使用动态和自适应的实时交通近播模拟，在荒地城市界面（WUI）的数字复制上寻找最佳疏散策略。这些策略，然后提供给疏散人员的实时，个性化的路线指导安全的目的地。 该技术还将为应急响应机构提供通信能力、态势感知和优化平台。该项目采用最新的数字孪生（DT）技术，彻底改变静态规划方法和以传单形式分发的疏散计划信息。具体而言，对于野火疏散，DT框架涉及火灾，通信和交通流的多功能模拟;旨在纳入基础设施参数，如道路网络，环境参数，以及疏散人员和应急管理机构的行为参数。该项目的技术范围侧重于基于DT模拟技术的实时解决方案的开发和演示，该解决方案可以改善一系列紧急疏散指标，包括总疏散时间，火灾暴露时间和交通拥堵。将对观测数据进行数值验证，并进行计算速度测试，以量化有效性和计算效率，从而建立对解决方案性能的基线理解，并随后建立对实际实施的信心。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。