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

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，以减少应急车辆到达目的地的时间，同时提高非应急车辆和应急车辆的安全性。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和运送有需要的人。这将减少涉及紧急车辆的撞车次数和相关诉讼费用，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，由于减少了由于紧急车辆造成的长时间延误，经历了与事故相关的旅行时间的减少，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，包括事故现场的实时更新、需要避开的区域以及可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。虽然拟议的系统自然会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，该系统可与急诊护理设施连接，以平衡医院急诊患者的负荷，并作为实现全自动化应急响应系统的催化剂。将开发新的课程和课程模块，以招聘和更好地培养精通多学科合作的未来劳动力。视频演示和试验台将用于向公众展示研究成果。关键研究部分将是设计一个应急响应系统，该系统应(1)动态确定电动汽车路线，(2)利用互联汽车技术协调非应急车辆的行动，为应急车辆高效地清理道路，(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)基于不确定或有限交通数据动态选择电动汽车路线的算法，(2)利用联网车辆技术促进应急车辆机动的应急协议，(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。实验将在一个试验台和一个真实的测试轨道上进行，以验证所提出的研究。

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.