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: 1544601
• 负责人: Pamela Murray-Tuite
• 金额: $ 37.49万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2018-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1544601&HistoricalAwards=false
• 关键词: CPS; Synergy; Collaborative; Research; Semi; 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.

这项研究的目的是设计一种半自动化，高效且安全的紧急响应系统，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。向紧急车辆和非紧急车辆提供路线和操纵指南，将使紧急旅行更安全，使警察和其他急救人员能够在更少的时间内与有需要的人接触和运输。这应该减少涉及紧急车辆和相关诉讼成本的坠机数量，同时改善医疗结果，减少财产损失，并灌输公众对紧急服务的更大信心。同时，非紧急车辆还将得到提高安全性，并且随着归因于紧急车辆的长期延迟，与事件相关的旅行时间减少，这将增加驾驶员的生产力和生活质量。 将连接的车辆纳入紧急响应系统还将为非紧急车辆提供协同的机会，包括事故现场的实时更新，要避免的区域以及可以将其纳入导航软件中的紧急路线的信息，以便驾驶员可以避免潜在的延误。虽然拟议的系统自然会提高智能城市的运输质量，但它还将为未来的技术提供一个平台。例如，拟议的系统可以与紧急护理设施相连，以平衡医院的急诊患者负荷，并充当实现完全自动化的应急系统的催化剂。 将开发新课程和课程模块，以招募和更好地准备一支精通多学科合作的未来劳动力。视频演示和测试台将用于向公众展示研究。关键的研究组件将是（1）动态确定EV途径的紧急响应系统的设计，（2）使用连接的车辆技术通过非紧急车辆进行协调，以有效地有效地清除紧急车辆的路径，以适应紧急情况，（3）能够适应和不确定的情况，并且（4）是不确定的或4）。该项目将导致（1）算法，该算法基于不确定或有限的流量数据，（2）利用连接的车辆技术来促进紧急车辆操作的紧急协议，（3）自动化模块，以帮助决策和操纵，以及（4）基础设施和汽车硬化框架，以滥用虐待。实验将在测试床上和实际测试轨道上进行，以验证拟议的研究。