Collaborative Research: Protocols for Wireless Networking and Multi-application Data Handling for Freeway Traffic Safety Applications

合作研究：高速公路交通安全应用的无线网络和多应用数据处理协议

• 批准号: 0800103
• 负责人: Subir Biswas
• 金额: $ 15.5万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-15 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0800103&HistoricalAwards=false
• 关键词: Collaborative; Research; Protocols; Wireless; Networking; Collaborative; Research; Protocols; Wireless; Networking

The objective of this project is to develop a framework for vehicle-to-vehicle information networking to support emerging Intelligent Transportation System (ITS) applications aimed at improving safety and performance of surface transportation networks. This project features two parallel, but interrelated, research tracks. The first track focuses on the design of a multi-hop wireless network architecture using the newly adopted Dedicated Short Range Communication (DSRC) standard for inter-vehicle communications. The second track focuses on the communication needs of ITS safety applications that may benefit from the proposed networking features. Research is approached with a particular emphasis on the needs of freeway safety systems such as collision and hazard warning systems. Elements to be investigated include functions for data inquiry and retrieval through the communication network, data filtering needs, data fusion factoring the impacts of potential communication delays, data prioritization needs, and decision control considering data quality. The project will develop a simulation based virtual testbed which will not only help design the communication functions, but also help assess the potential impacts of alternative communication network designs on the operation of ITS applications and on traffic behavior and safety. Project contributions in the networking front will include development of network protocols for low-collision broadcasts in highly dynamic environments, design of new context-aware multi-hop routing, and demonstration of feasibility and performance of the developed protocols through a virtual testbed. Contributions to ITS applications will include categorization and prioritization of data communication needs, data fusion algorithms, and decision algorithms supporting driver assistance systems by leveraging the ability for vehicles to communicate with vehicles multiple hops away. The project?s broad impacts in advancing science and engineering are in its potential to exploit emerging mobile network technology for the development of information-based applications. In addition to extending communication capabilities for ITS applications, the project will provide an evolving data networking framework for supporting new applications as they emerge. The research results will be also usable for the design and commercialization of in-vehicle internet access. The project is further envisioned as a stepping stone for the development of a joint multi-disciplinary ITS research program across Michigan State University and the University of Michigan. Such an effort will bridge research areas in electrical, computer science, civil and industrial engineering. It will also provide unique opportunities for academic researchers and transportation engineers to work cooperatively on the development of information-based applications enhancing the efficiency and security of the nation?s transportation infrastructure.

该项目的目的是为车辆到车辆信息网络开发一个框架，以支持新兴的智能运输系统（ITS）应用程序，旨在提高地面运输网络的安全性和性能。该项目具有两个平行但相互关联的研究轨道。第一条轨道着重于使用新的专用短距离通信（DSRC）标准的多跳无线网络体系结构的设计。第二条轨道着重于其安全应用程序的沟通需求，这些应用可能受益于拟议的网络功能。进行研究，特别着重于高速公路安全系统的需求，例如碰撞和危害警告系统。要研究的元素包括通过通信网络进行数据查询和检索的功能，数据融合考虑了潜在通信延迟的影响，数据优先级别的需求以及考虑数据质量的决策控制。该项目将开发基于模拟的虚拟测试床，该项目不仅将有助于设计通信功能，还可以帮助评估替代通信网络设计对其应用程序以及对交通行为和安全性的运行的潜在影响。 网络方面的项目贡献将包括开发高度动态环境中低碰撞广播的网络协议，新的上下文感知的多跳路由的设计，以及通过虚拟测试台的可行性和开发协议的可行性和性能的演示。对其应用程序的贡献将包括数据通信需求的分类和优先级，数据融合算法以及支持驾驶员援助系统的决策算法，利用车辆与车辆与车辆进行多个啤酒花通信的能力。该项目在推进科学和工程方面的广泛影响有可能利用新兴的移动网络技术来开发基于信息的应用程序。除了扩展其应用程序的通信功能外，该项目还将提供一个不断发展的数据网络框架，以支持新应用程序出现。研究结果也将用于车载互联网访问的设计和商业化。 该项目被进一步设想为开发在密歇根州立大学和密歇根大学的跨学科研究计划的共同研究计划的垫脚石。这样的努力将弥合电气，计算机科学，民用和工业工程的研究领域。它还将为学术研究人员和运输工程师提供独特的机会，以合作开发基于信息的应用程序，以增强国家运输基础设施的效率和安全性。