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

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.

该项目的目标是开发一个车对车信息网络框架，以支持旨在提高地面运输网络安全性和性能的新兴智能运输系统应用。该项目有两个平行但相互关联的研究轨道。第一个轨道的重点是一个多跳无线网络架构的设计，使用新采用的专用短程通信（DSRC）标准的车辆之间的通信。第二个轨道侧重于ITS安全应用程序的通信需求，这些应用程序可能会受益于拟议的网络功能。研究方法，特别强调高速公路安全系统，如碰撞和危险警告系统的需求。需要调查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、数据优先级排序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应用程序运行以及交通行为和安全的潜在影响。 在网络方面的项目贡献将包括在高度动态的环境中开发低冲突广播的网络协议，设计新的上下文感知多跳路由，并通过虚拟试验台演示所开发协议的可行性和性能。对ITS应用的贡献将包括数据通信需求的分类和优先级排序、数据融合算法以及通过利用车辆与多跳远的车辆通信的能力来支持驾驶员辅助系统的决策算法。项目？在推进科学和工程方面的广泛影响在于其利用新兴的移动的网络技术来开发基于信息的应用的潜力。除了扩展智能交通系统应用的通信能力外，该项目还将提供一个不断发展的数据网络框架，以支持新出现的应用。研究结果也将可用于车载互联网接入的设计和商业化。 该项目被进一步设想为跨密歇根州立大学和密歇根大学的联合多学科ITS研究计划的发展的垫脚石。这样的努力将在电气、计算机科学、土木和工业工程的研究领域建立桥梁。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。的交通基础设施。