CPS: Synergy: Collaborative Research: Semi-Automated Emergency Response System

CPS：协同：协作研究：半自动应急响应系统

• 批准号: 1812524
• 负责人: Pamela Murray-Tuite
• 金额: $ 34.5万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1812524&HistoricalAwards=false
• 关键词: CPS; Synergy; Collaborative; Research; Semi

The objective of this research is to design a semi-automated, efficient, and secure emergency response system to reduce the time it takes emergency vehicles to reach their destinations, while increasing the safety of non-emergency vehicles and emergency vehicles alike. Providing route and maneuver guidance to emergency vehicles and non-emergency vehicles will make emergency travel safer and enable police and other first responders to reach and transport those in need, in less time. This should reduce the number of crashes involving emergency vehicles and associated litigation costs while improving medical outcomes, reducing property damage, and instilling greater public confidence in emergency services. At the same time, non-emergency vehicles will also be offered increased safety and, with the reduction of long delays attributed to emergency vehicles, experience reduced incident-related travel time, which will increase productivity and quality of life for drivers. Incorporating connected vehicles into the emergency response system will also provide synergistic opportunities for non-emergency vehicles, including live updates on accident sites, areas to avoid, and information on emergency routes that can be incorporated into navigation software so drivers can avoid potential delays. While the proposed system will naturally advance the quality of transportation in smart cities, it will also provide a platform for future techniques to build upon. For example, the proposed system could be connected with emergency care facilities to balance the load of emergency patients at hospitals, and act as a catalyst toward the realization of a fully-automated emergency response system. New courses and course modules will be developed to recruit and better prepare a future workforce that is well versed in multi-disciplinary collaborations. Video demos and a testbed will be used to showcase the research to the public.The key research component will be the design of an emergency response system that (1) dynamically determines EV routes, (2) coordinates actions by non-emergency vehicles using connected vehicle technology to efficiently and effectively clear paths for emergency vehicles, (3) is able to adapt to uncertain traffic and network conditions, and (4) is difficult to abuse or compromise. The project will result in (1) algorithms that dynamically select EV routes based on uncertain or limited traffic data, (2) emergency protocols that exploit connected vehicle technology to facilitate emergency vehicles maneuvers, (3) an automation module to assist with decision making and maneuvers, and (4) an infrastructure and vehicle hardening framework that prevents cyber abuse. Experiments will be performed on a testbed and a real test track to validate the proposed research.

本研究的目的是设计一个半自动化，高效，安全的应急响应系统，以减少紧急车辆到达目的地所需的时间，同时提高非紧急车辆和紧急车辆的安全性。为紧急车辆和非紧急车辆提供路线和机动指导将使紧急旅行更安全，并使警察和其他急救人员能够在更短的时间内到达并运送需要帮助的人。这将减少涉及紧急车辆的撞车事故数量和相关的诉讼费用，同时改善医疗结果，减少财产损失，并增强公众对紧急服务的信心。与此同时，非紧急车辆也将获得更高的安全性，并减少因紧急车辆造成的长时间延误，减少与事故有关的旅行时间，这将提高司机的生产力和生活质量。 将联网车辆纳入应急响应系统还将为非紧急车辆提供协同机会，包括实时更新事故现场、需要避开的区域，以及可以纳入导航软件的紧急路线信息，以便驾驶员避免潜在的延误。虽然拟议的系统将自然地提高智慧城市的交通质量，但它也将为未来的技术提供一个平台。例如，所提出的系统可以与紧急护理设施连接，以平衡医院急诊病人的负荷，并作为实现全自动应急响应系统的催化剂。 将开发新的课程和课程模块，以招聘和更好地准备未来精通多学科合作的员工队伍。该研究的关键部分将是设计一个紧急响应系统，该系统（1）动态确定电动汽车路线，（2）使用联网车辆技术协调非紧急车辆的行动，以高效和有效地为紧急车辆清理路径，（3）能够适应不确定的交通和网络条件，（4）难以滥用或妥协。该项目将产生（1）基于不确定或有限的交通数据动态选择EV路线的算法，（2）利用联网车辆技术促进紧急车辆机动的紧急协议，（3）辅助决策和机动的自动化模块，以及（4）防止网络滥用的基础设施和车辆加固框架。试验将在试验台和真实的试验轨道上进行，以验证所提出的研究。