US Ignite: Collaborative Research: Focus Area 1: Fleet Management of Large-Scale Connected and Autonomous Vehicles in Urban Settings

US Ignite：合作研究：重点领域 1：城市环境中大型联网自动驾驶车辆的车队管理

基本信息

批准号：
1647167
负责人：
Alexander Samoylov
金额：
$ 29.94万
依托单位：
Georgia Tech Applied Research Corporation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-01-01 至 2020-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1647167&HistoricalAwards=false
关键词：
US Ignite Collaborative Research Focus

项目摘要

The massive deployment of autonomous vehicles on public roadway systems is now on the horizon, and will undoubtedly revolutionize the transportation ecosystem in the near future. Though autonomous vehicles hold much promise, major hurdles, such as safety and efficiency, must be first overcome. For example, if an autonomous vehicle runs into a heavy storm, the functioning of the GPS system or the sensing systems might be degraded. Therefore, the vehicle must incorporate substantial situational awareness by taking advantage of real-time data from the transportation infrastructure or other vehicles. This award supports fundamental research on large-scale fleet management/coordination in extreme/complex urban driving scenarios. In addition, an advanced wireless infrastructure is initiated for next-generation vehicular communications with extremely low-latency requirements and severe data demand. The gigabit fiber optic networks available in Chattanooga, TN will serve as a backbone for such an infrastructure. Connected autonomous vehicles together with the gigabit wireless/wired connections can change urban dynamics and may eventually lead to Smart & Connected Communities. The award can also foster workforce development, engineering education, and multi-disciplinary research.The objective of this proposal is to investigate fleet management/coordination of large-scale connected autonomous vehicles, fully explore unprecedented opportunities brought by such vehicles, and address the corresponding challenges. An advanced wireless infrastructure, which integrates Dedicated Short Range Communications (DSRC) with urban ultra-dense small cells, will be explored together with prescriptive analytics, dynamic spectrum access for millimeter wave communications, and innovative computing paradigms to substantially improve broadband connectivity for connected autonomous vehicles in terms of latency, throughput, and reliability. Real-time fleet management will be enabled by broadband multimedia streaming and sensor data sharing. Based on advanced wireless communications, the research team will study cooperative sensing and mobility of connected autonomous vehicles in extreme/complex urban driving scenarios, which fills a gap in the existing research with a focus only on a single autonomous vehicle or a small number of connected vehicles under normal driving conditions. Finally, pilot studies will be performed and novel application prototypes will be demonstrated in both Atlanta and Chattanooga with support from government and industry partners.

现在，公共道路系统上的自动驾驶汽车的大规模部署正在范围内，无疑将在不久的将来彻底改变运输生态系统。尽管自动驾驶汽车具有很大的希望，但必须首先克服重大障碍，例如安全性和效率。例如，如果自动驾驶汽车陷入严重的风暴，则可能会降级GPS系统或传感系统的功能。因此，该车辆必须通过利用来自运输基础设施或其他车辆的实时数据来纳入实质性的情境意识。该奖项支持极端/复杂城市驾驶场景中的大规模车队管理/协调的基本研究。此外，启动了高级无线基础设施，用于下一代车辆通信，具有极低的延迟要求和严重的数据需求。田纳西州查塔努加（Chattanooga）提供的千兆光纤网络将用作这种基础架构的骨干。连接的自动驾驶汽车以及千兆无线/有线连接可以改变城市动态，并最终导致智能和连接的社区。该奖项还可以促进劳动力发展，工程教育和多学科研究。该提案的目的是调查机队管理/协调大规模连接的自动驾驶汽车，充分探索此类车辆带来的前所未有的机会，并应对相应的挑战。高级无线基础设施将专门的短距离通信（DSRC）与城市超密集的小单元组合在一起，将与规定性分析，动态频谱访问以及创新计算的动态频谱一起探索，并在范围内实质上提高可连接的自动范围的宽带连接，从而在范围内通过延伸性，可靠性地提高宽带连接。实时车队管理将通过宽带多媒体流和传感器数据共享启用。根据高级无线通信，研究团队将在极端/复杂的城市驾驶场景中研究连接的自动驾驶汽车的合作感应和移动性，这在现有研究的空白上仅关注单个自动驾驶汽车或在正常驾驶条件下的少量连接车辆。最后，将进行试点研究，并在政府和行业伙伴的支持下在亚特兰大和查塔努加（Chattanooga）进行新颖的应用原型。