Collaborative Research: Coordinated Real-Time Traffic Management Based on Dynamic Information Propagation and Aggregation under Connected Vehicle Systems

协作研究：车联网系统下基于动态信息传播和聚合的协同实时交通管理

• 批准号: 1817346
• 负责人: Lili Du
• 金额: $ 17.23万
• 依托单位: University of Florida
• 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: 2017-08-17 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1817346&HistoricalAwards=false
• 关键词: Collaborative; Research; Coordinated; Real; Time

Advances in wireless communication technologies have enabled communications among vehicles, and between vehicles and the associated infrastructure. These technologies can be significantly leveraged to enhance the safety and performance of current roadway transportation systems. This study seeks to understand how traffic information spreads among vehicles and between vehicles and the roadside infrastructure, and how that data can be efficiently collected and used to develop real-time traffic management strategies, so as to improve safety, mobility, and sustainability. Further, through the education programs at Illinois Institute of Technology and Purdue University, this study will aid the development of new skills for the workforce that can leverage these emerging technologies for innovative applications, and broaden research and educational opportunities for under-represented groups.This study seeks to develop real-time coordinated traffic management strategies built upon dynamic information propagation and aggregation in connected vehicle systems. To achieve this goal, it investigates three interrelated research challenges: (i) information propagation dynamics, (ii) distributed information aggregation, and (iii) coordinated real-time traffic management. These methods bridge advanced scientific knowledge in computer science, transportation science, and operations research. Further, they adapt well-known and/or emerging concepts in traffic flow theory, network modeling, wireless communication, optimization theory, stochastic modeling, and algorithm design. The novelty of this research is highlighted through the holistic consideration of the unique features of a connected vehicle system: a distributed system with dynamic information propagating therein. At a fundamental level, the study outcomes will contribute to scientific knowledge and technologies for connected vehicle systems in the following aspects: (i) a better understanding of the interactions between information dynamics and traffic flow dynamics; (ii) the opening of a new research venue related to distributed information processing methods; and (iii) the understanding of real-time traffic management through the coordination of individual vehicle knowledge and centralized traffic control.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

无线通信技术的进步已使车辆之间以及车辆和相关基础设施之间的通信。这些技术可以大大利用，以增强当前道路运输系统的安全性和性能。这项研究旨在了解交通信息如何在车辆之间，车辆和路边基础设施之间传播，以及如何有效收集这些数据并用于制定实时交通管理策略，以提高安全性，出行性和可持续性。此外，通过伊利诺伊技术研究所和普渡大学的教育计划，这项研究将有助于开发劳动力的新技能，这些劳动力可以利用这些新兴技术来用于创新应用，并扩大了代表性不足的小组的研究和教育机会。这项研究旨在基于动态管理策略而开发动态的交通管理策略，以开发动态的交通工具，以开发与Connectecty Connectect in Conncontecty Conncontecty Connectect in Connconcement in Conncontection。为了实现这一目标，它研究了三个相互关联的研究挑战：（i）信息传播动态，（ii）分布式信息聚合和（iii）协调的实时交通管理。这些方法桥接了计算机科学，运输科学和运营研究中的高级科学知识。此外，它们在交通流理论，网络建模，无线通信，优化理论，随机建模和算法设计中适应了知名和/或新兴概念。通过对连接车辆系统的独特特征的整体考虑：一种具有动态信息传播的分布式系统，可以强调这项研究的新颖性。在基本层面上，研究成果将在以下方面为连接的车辆系统的科学知识和技术做出贡献：（i）更好地理解信息动态和交通流动动态之间的相互作用； （ii）开放与分布式信息处理方法相关的新研究场所； （iii）通过协调单个车辆知识和集中交通管制对实时交通管理的理解。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持的。