Collaborative Research: CSR-EHCS(CPS), TM: AutoMatrix: Large-scale Test-bed and Real-Time Protocols for Vehicle-to-Vehicle Wireless Networks

合作研究：CSR-EHCS(CPS)，TM：AutoMatrix：车对车无线网络的大规模测试平台和实时协议

• 批准号: 0834517
• 负责人: Rahul Mangharam
• 金额: $ 27万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0834517&HistoricalAwards=false
• 关键词: Collaborative; Research; CSR; EHCS; CPS

Over 6.4 million automotive accidents occur in the US annually. Odds of someone being in an accident this year are 1 chance in 16. Any information that warns of problems along the road(s) ahead can therefore potentially save lives and reduce the frequency and/or intensity of accidents. The vehicle of tomorrow is the programmable-networked vehicle. In our view, the networked vehicle of the future is one of the most complex Cyber Physical Systems (CPS) with active trajectory control, active navigation and on-line maintenance. V2V wireless networks are a special class of networked-CPS where the maximum relative speeds are in excess of 80m/s, the node density can span over 9,000 vehicles/mi^2 and, most importantly, the dynamics of the vehicle, the environment, driver reaction and interaction with other vehicles need to be considered in every communication and control decision. To meet these timeliness and coordinated communication requirements, we are developing a new set of networking capabilities that can lay the foundation for dynamic vehicular networks designed to make driving safer, more efficient and more enjoyable. This project is aimed at the design, analysis, implementation and evaluation of vehicular networks that will enable a wide range of applications including V2V and V2I communication for: (a) Bounded-latency broadcast protocols for active networked safety alerts (b) Protocols and algorithms for Real-Time collision avoidance (c) Native protocols for secure V2V and V2I communication. Real-time research in V2V networks will be the first step toward developing a Spatio-Temporal Real-Time theory and network protocols with wide-area time synchronization.

美国每年发生640多万起交通事故。今年发生交通事故的几率是1 / 16。因此，任何警告前方道路问题的信息都可能挽救生命，并减少事故的频率和/或强度。未来的交通工具是可编程的联网交通工具。我们认为，未来的联网车辆是最复杂的网络物理系统（CPS）之一，具有主动轨迹控制、主动导航和在线维护功能。V2V无线网络是一种特殊的网络cps，其最大相对速度超过80m/s，节点密度可以跨越9000辆/mi^2以上，最重要的是，在每个通信和控制决策中都需要考虑车辆的动态、环境、驾驶员的反应以及与其他车辆的交互。为了满足这些及时性和协调性的通信需求，我们正在开发一套新的网络功能，为动态车辆网络奠定基础，旨在使驾驶更安全、更高效、更愉快。该项目旨在设计、分析、实施和评估车辆网络，以实现包括V2V和V2I通信在内的广泛应用：(a)用于主动网络安全警报的有限延迟广播协议(b)用于实时避免碰撞的协议和算法(c)用于安全V2V和V2I通信的本地协议。V2V网络的实时研究将是发展具有广域时间同步的时空实时理论和网络协议的第一步。