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.

自动驾驶汽车在公共道路系统上的大规模部署即将到来，无疑将在不久的将来彻底改变交通生态系统。尽管自动驾驶汽车前景广阔，但必须首先克服安全和效率等主要障碍。例如，如果自动驾驶车辆遇到暴风雨，GPS 系统或传感系统的功能可能会下降。因此，车辆必须利用来自交通基础设施或其他车辆的实时数据来整合大量的态势感知能力。该奖项支持极端/复杂城市驾驶场景中大规模车队管理/协调的基础研究。此外，还为具有极低延迟要求和严格数据需求的下一代车辆通信启动了先进的无线基础设施。田纳西州查塔努加的千兆光纤网络将作为此类基础设施的骨干网。联网自动驾驶汽车与千兆位无线/有线连接可以改变城市动态，并最终可能导致智能互联社区。该奖项还可以促进劳动力发展、工程教育和多学科研究。该提案的目的是研究大规模联网自动驾驶车辆的车队管理/协调，充分探索此类车辆带来的前所未有的机遇，并解决相应的问题挑战。将探索先进的无线基础设施，将专用短程通信 (DSRC) 与城市超密集小基站集成在一起，并与规范分析、毫米波通信的动态频谱访问和创新计算范例一起探索，以大幅改善互联自主的宽带连接车辆在延迟、吞吐量和可靠性方面的表现。实时车队管理将通过宽带多媒体流和传感器数据共享来实现。研究团队将基于先进的无线通信技术，研究极端/复杂城市驾驶场景下联网自动驾驶汽车的协同感知和移动性，填补了现有研究仅关注单辆自动驾驶汽车或少量联网汽车的空白。车辆在正常行驶条件下。最后，在政府和行业合作伙伴的支持下，将在亚特兰大和查塔努加进行试点研究并展示新颖的应用原型。