NeTS: Small: Collaborative Research: Connected Barriers: Vehicle to Barrier Communication and Networking for Single-Vehicle Crash Safety

NeTS：小型：协作研究：互联障碍：用于单车碰撞安全的车辆到障碍通信和网络

• 批准号: 1816938
• 负责人: Mehmet Vuran
• 金额: $ 31.95万
• 依托单位: University of Nebraska-Lincoln
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1816938&HistoricalAwards=false
• 关键词: NeTS; Small; Collaborative; Research; Connected

More than half of fatal vehicle crashes in the US today are "run-off-road" (RoR) crashes and roadside barriers are the last means of mitigating their severity. Yet, vehicles of tomorrow are slated to operate on roadside infrastructure designed decades ago. This project aims to bridge this gap by establishing wireless connectivity between vehicles and roadside barriers by developing a novel vehicle to barrier (V2B) communication and networking paradigm called connected barriers (CBs). CBs will (1) complement on-board sensor technologies and existing physical barriers, (2) avoid RoR crashes, (3) minimize the severity of a crash when it is inevitable, and (4) help develop mutual collaborations between the roadside safety and vehicular communication and networking communities, which will lead to robust technology solutions. Based on Department of Transportation's value of a statistical life estimate in 2014, the societal cost of a crash is $9.4 million per fatality, with approximately 10,000 fatal ROR crashes each year. With widespread implementation, this research project could reduce fatal and non-fatal crash rates by up to 70%, which could save as many as 8,000 lives per year in the U.S. alone and billions of dollars in economic losses. This project supports 2 graduate students and its results will be incorporated into several courses at UNL and OSU. Insights from the project results will help establish collaborative efforts to educate both industry and academia in Nebraska and Ohio. To realize the CB vision, the project explores three main threads: (1) the foundations of V2B communication will be established through analysis of wireless channel characteristics in field measurements, actual car-crash tests, and channel model development. (2) to enable reliable control reactions, very high-fidelity barrier-assisted vehicle localization and vehicle-barrier synchronization solutions will be developed. (3) novel communication algorithms and protocols will be developed to disseminate periodic information about barrier and road conditions, and to facilitate real-time information exchange during upcoming RoR events, with an eye towards coexistence with existing communication standards. The developed solutions will be evaluated through encroachment and vehicle crash experiments in the Midwest Roadside Safety Facility, and system evaluations on low-volume suburban and rural road segments in collaboration with the Village of Eagle, Nebraska, and Nebraska's Cass County. Finally, a multi-time-scale simulation platform will be integrated by including empirical measurements of the wireless channel, vehicle and barrier dynamics, traffic dynamics, and communication and network dynamics to provide effective evaluation tools of the CB paradigmThis 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.

今天，在美国，超过一半的致命车辆撞车事故是“越野”(ROR)撞车事故，而路边护栏是减轻其严重性的最后手段。然而，未来的车辆将在几十年前设计的路边基础设施上运行。该项目旨在通过开发一种名为互联屏障(CBS)的新型车辆到屏障(V2B)通信和网络范例，在车辆和路边屏障之间建立无线连接，从而弥合这一差距。CBS将(1)补充车载传感器技术和现有的物理屏障，(2)避免RoR碰撞，(3)在不可避免的情况下将碰撞的严重性降至最低，以及(4)帮助路边安全与车辆通信和网络社区之间的相互协作，这将导致强大的技术解决方案。根据交通部2014年的统计寿命估计值，一次撞车事故的社会成本为每人死亡940万美元，每年约有1万起致命的RoR撞车事故。随着这一研究项目的广泛实施，可以将致命和非致命的坠机率降低高达70%，仅在美国每年就可以挽救多达8000人的生命和数十亿美元的经济损失。该项目资助了2000名研究生，其成果将纳入联合国大学和俄勒冈州州立大学的几门课程。从项目结果中获得的见解将有助于建立合作努力，以教育内布拉斯加州和俄亥俄州的工业界和学术界。为了实现CB愿景，该项目探索了三条主要思路：(1)通过现场测量、实际碰撞试验和信道模型开发中的无线信道特性分析，为V2B通信奠定基础。(2)为了实现可靠的控制反应，将开发非常高保真的障碍物辅助车辆定位和车辆与障碍物同步解决方案。(3)将开发新的通信算法和协议，以传播有关路障和道路状况的定期信息，并促进即将举行的RoR活动期间的实时信息交流，着眼于与现有通信标准共存。开发的解决方案将通过中西部路边安全设施的侵占和车辆碰撞实验进行评估，以及与内布拉斯加州伊格尔村和内布拉斯加州卡斯县合作对低交通量郊区和农村路段进行系统评估。最后，将整合一个多时间尺度的仿真平台，包括无线信道、车辆和障碍物动力学、交通动力学以及通信和网络动力学的经验测量，以提供CB范例的有效评估工具。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Scalable Privacy-preserving Geo-distance Evaluation for Precision Agriculture IoT Systems

精准农业物联网系统的可扩展隐私保护地理距离评估

• DOI: 10.1145/3463575
• 发表时间: 2021
• 期刊: ACM Transactions on Sensor Networks
• 影响因子: 4.1
• 作者: Yan, Qiben;Lou, Jianzhi;Vuran, Mehmet C.;Irmak, Suat
• 通讯作者: Irmak, Suat

OneLNK: One Link to Rule Them All: Web-based Wireless Experimentation for Multi-vendor Remotely Accessible Indoor/Outdoor Testbeds

• DOI: 10.1145/3477086.3480835
• 发表时间: 2021-10
• 期刊: Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization
• 作者: M. M. Lunar-M.;Jianxin Sun;John Wensowitch;Michael Fay;H. B. Tulay;Venkat Sai Suman Lamba Karanam;Brian Qiu;Deepak Nadig;G. Attebury;Hongfeng Yu;J. Camp;C. E. Koksal;D. Pompili;B. Ramamurthy;M. Hashemi;E. Ekici;M. Vuran

A city-wide experimental testbed for the next generation wireless networks

下一代无线网络的全市实验测试台

• 发表时间: 2021
• 期刊: Ad hoc networks
• 影响因子: 4.8
• 作者: Zhao, Zhongyuan;Vuran, Mehmet C.;Zhou, Baofeng;Lunar, Mohammad M.R.;Aref, Zahra;Young, David P.;Humphrey, Warren;Goddard, Steve;Attebury, Garhan;France, Blake
• 通讯作者: France, Blake

Crashing Waves: An Empirical Vehicle-to-Barrier Communication Channel Model via Crash Tests

碰撞波：通过碰撞测试建立的经验车辆到障碍物通信通道模型

• DOI: 10.1109/mass52906.2021.00059
• 发表时间: 2021
• 期刊: 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS
• 作者: Lunar, Mohammad M.;Stolle, Cody;Faller, Ronald K.;Vuran, Mehmet C.
• 通讯作者: Vuran, Mehmet C.