Reduced Infrastructure Cost in Transportation Systems through Intelligent Signal Processing

计算和通信技术的快速进步，加上对局域网的廉价接入，有可能使我国的车载网络发生革命性的变化。及时部署这些系统的根本瓶颈是支持这些系统所需的基础设施。本提案旨在了解基础设施需求并探索基于成本、可伸缩性和健壮性考虑的体系结构。特别是，我们机会主义地利用蜂窝电话、WiFi网络和GPS接收器等设备，虽然这些设备最初是为无关的应用而部署的，但可以显著增强车载网络的运行。本提案侧重于实现这一点所需的系统理论，重点是围绕智能分布式信号处理、通信、控制和网络的跨学科攻击。这项工作所产生的理论进步将反过来为车辆网络设计新的协议提供指导，特别是在农村地区和发展中国家，那里的成本限制了交通系统的增长。这项提议寻求为需要最低成本基础设施的下一代智能交通系统发展理论基础和新颖的建设性设计。基于成本、可扩展性、健壮性和可靠性的考虑，提出的研究工作包括：(I)基于多跳中继和随机线性网络编码的车载自组织网络数据分发的大容量通信；(Ii)基于探测车辆的简约移动采样的用于拥塞管理的交通场信息的可靠估计，以及基于Metanet等准确的交通流模型的分布式数据感知、压缩和聚集；以及(Iii)基于对共享多址无线信道上的多个动态系统的并发的、实时的分布式决策的调查，针对关键安全和冲突避免的稳健的低延迟估计。

Rapid advances in computing and communicating technologies, combined with inexpensive access to local area wireless networks, have the potential to revolutionize our nation's vehicular networks. The fundamental bottleneck to the timely deployment of these systems is the the infrastructure needed to support them. This proposal seeks to understand infrastructure requirements and explore architectures driven by considerations of cost, scalability, and robustness. In particular, weopportunistically utilize devices such as cellular phones, WiFi networks, and GPS receivers which, though originally deployed for unrelated applications, can significantly enhance the operation of vehicular networks.This proposal focuses on the systems theory needed to realize this, focusing on an interdisciplinary attack around intelligent distributed signal processing, communications, control and networking. The theoretical advances resulting from this work will in turn provide guidance on the design of new protocols for vehicular networks, particularly in rural areas and the developing world, where cost limits the growth of transportation systems.This proposal seeks to develop both the theoretical foundations and novel constructive designs for next-generation intelligent transportation systems that require minimum cost infrastructure. Motivated by the considerations of cost, scalability, robustness, and reliability, the proposed research thrusts include:(i) high-capacity communication based on multihop relaying and random linear network coding for data distribution in vehicular ad hoc networks;(ii) reliable estimation of traffic field information for congestion management based on parsimonious mobile sampling of probe vehicles, and distributed sensing, compressing, and aggregation of data based on accurate traffic-flow models such as METANET; and (iii) robust low-latency estimation for critical safety and collision avoidance based on investigation of concurrent, real-time distributedestimation of multiple dynamical systems over a shared multi-access wireless channel.