Collaborative Research: Protocols for Wireless Networking and Multi-application Data Handling for Freeway Traffic Safety Applications
Collaborative Research: Protocols for Wireless Networking and Multi-application Data Handling for Freeway Traffic Safety Applications
批准号:
0800155
负责人:
Romesh Saigal
金额:
$15.5万
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
项目状态:
已结题
起止时间:
2008-08-15 至 2012-07-31
中文摘要
该项目的目标是开发一个车对车信息网络框架,以支持新兴的智能交通系统(ITS)应用,旨在提高地面交通网络的安全性和性能。这个项目有两个平行但相互关联的研究方向。第一个专题着重于多跳无线网络架构的设计,该架构使用新采用的专用短距离通信(DSRC)标准进行车辆间通信。第二部分侧重于ITS安全应用的通信需求,这些应用可能受益于拟议的网络功能。研究的重点是高速公路安全系统的需求,如碰撞和危险预警系统。需要研究的要素包括通过通信网络进行数据查询和检索的功能、数据过滤需求、考虑潜在通信延迟影响的数据融合、数据优先级需求以及考虑数据质量的决策控制。该项目将开发一个基于仿真的虚拟测试平台,不仅有助于设计通信功能,还有助于评估替代通信网络设计对ITS应用程序运行、交通行为和安全的潜在影响。项目在网络方面的贡献将包括在高动态环境中开发用于低碰撞广播的网络协议,设计新的上下文感知多跳路由,并通过虚拟测试平台演示开发协议的可行性和性能。ITS应用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,以及通过利用车辆与多跳之外的车辆通信的能力来支持驾驶员辅助系统的决策算法。这个项目吗?美国在推进科学和工程方面的广泛影响在于它有潜力利用新兴的移动网络技术来开发基于信息的应用。除了扩展ITS应用的通信能力外,该项目还将提供一个不断发展的数据网络框架,以支持新应用的出现。研究成果也将用于车载互联网接入的设计和商业化。该项目进一步被设想为密歇根州立大学和密歇根大学联合开展多学科ITS研究项目的垫脚石。这样的努力将架起电气、计算机科学、土木和工业工程等研究领域的桥梁。它还将为学术研究人员和交通工程师提供独特的机会,合作开发基于信息的应用程序,提高国家的效率和安全。美国的交通基础设施。
英文摘要
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.
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批准号:1232819
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项目类别:Standard Grant
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资助金额:$22.2万
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