Collaborative Research: NeTS-NBD: Exploring the design and implementation of vehicular networked systems

合作研究：NeTS-NBD：探索车载网络系统的设计和实现

• 批准号: 0520033
• 负责人: Cristian Borcea
• 金额: $ 22.5万
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0520033&HistoricalAwards=false
• 关键词: Collaborative; Research; NeTS; NBD; Exploring

This research is exploring inter-vehicular networking from a systems perspective. The vision is an intelligent transportation system composed of smart vehicles exchanging data for safe driving, traffic condition monitoring, emergency message dissemination, and dynamic route planning over hybrid wireless networks. The first objective is to design and implement a flexible and efficient vehicular computing platform, bottom-up, starting from a car PC assembled in the lab, up to services and applications. This platform is a stepping stone toward defining a network architecture and protocol stack specific to vehicular networks.This research can have a major impact on traffic safety. Not only it can reduce the accidents' cost in human lives, but also can significantly decrease the financial costs associated with these accidents. Furthermore, it can reduce fuel consumption and pollution by providing real-time traffic information to help drivers make better route planning decisions. The main expected results are a vehicular network protocol stack and a prototype vehicular computing platform. The protocol stack consists of several new, vehicle-specific layers such as (i) Data Validation and Caching, (ii) Store and Forward Message Routing, (iii) In-Network Processing, and (iv) Application Layer supporting mobile queries. This research also develops a location-aware publish-subscribe framework that uses GPRS/3G links to efficiently route high-priority messages between disconnected IEEE 802.11-based ad hoc networks. Finally, it produces a new study of traffic modeling and an evaluation methodology for vehicular networking systems. Research labs of major car manufacturers will be contacted to establish collaborations and perform technology transfer.

这项研究正在从系统角度探索车辆间网络。该愿景是由智能车辆组成的智能交通系统，通过混合无线网络交换数据以实现安全驾驶、交通状况监控、紧急消息传播和动态路线规划。第一个目标是设计和实现一个灵活高效的车载计算平台，自下而上，从实验室组装的车载电脑开始，一直到服务和应用程序。该平台是定义特定于车辆网络的网络架构和协议栈的垫脚石。这项研究可能对交通安全产生重大影响。它不仅可以减少事故造成的人员生命损失，还可以显着减少与这些事故相关的财务成本。此外，它还可以通过提供实时交通信息来帮助驾驶员做出更好的路线规划决策，从而减少燃料消耗和污染。主要预期成果是车载网络协议栈和原型车载计算平台。该协议栈由几个新的车辆特定层组成，例如（i）数据验证和缓存，（ii）存储和转发消息路由，（iii）网络内处理，以及（iv）支持移动查询的应用层。这项研究还开发了一种位置感知的发布-订阅框架，该框架使用 GPRS/3G 链路在断开连接的基于 IEEE 802.11 的自组织网络之间有效地路由高优先级消息。最后，它对交通建模和车辆网络系统的评估方法进行了新的研究。将联系主要汽车制造商的研究实验室建立合作并进行技术转让。