Distributed Vehicular Traffic Management via DSRC-Enabled Vehicles

通过支持 DSRC 的车辆进行分布式车辆交通管理

• 批准号: 0700383
• 负责人: Michael Zhang
• 金额: $ 34.11万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0700383&HistoricalAwards=false
• 关键词: Distributed; Vehicular; Traffic; Management; via

In this research, we exploit the ad hoc networks formed by vehicles equipped with robust wireless communication devices, storage, processing, and sensing capability to perform robust traffic state estimation and distributed traffic management. First, we will utilize the sensing and computation capabilities of vehicles and the self-organized grid computing engine to develop robust estimation and control algorithms to smooth vehicular traffic flow on freeways. Through simulation and analysis we will investigate the effectiveness of these schemes with the goal to reduce accidents, minimize congestion delays and maximize throughput. We will also investigate the required degree of penetration to make such a system effective. Second, as part of this research, we will develop the software architecture, the networking protocols, and the resource management algorithms to create the grid computing engine, VGrid, and integrate it with the roadside sensor infrastructure. New challenges arise due to the dynamic nature of the ad hoc grid computer as both the topology and the node membership change with time. Third, we will develop an integrated simulation tool that has both a realistic vehicular mobility model and communication/networking layers that capture the dynamics of wireless channels. Using this simulation tool, we will investigate the performance characteristics of a hybrid sensing-computing-control system, and identify design and modeling issues to improve the performance of such a system.Our proposed research provides both an alternative infrastructure and new ways to manage traffic flow and enhance traffic safety. The distributed dynamic sensing and control architecture developed here would make ubiquitous deployment of traffic safety, security and management measures a reality wherever there are VGrid types of vehicles, which alleviates the reliance on expensive fixed infrastructure and has the potential to speed up the response time compared to traditional centralized intelligent transportation systems. Moreover, understanding the characteristics of vehicular ad hoc networks and the overlay grid computing platform will aid the development of a general framework for other applications such as vehicular collision avoidance, emergency evacuation, and disaster recovery. There are significant broader impacts of this proposed research. First, by providing both an alternative infrastructure and new ways to manage traffic flow and enhance traffic safety, significant societal benefits can be expected in the form of increased mobility and saved human lives. Second, since this project examines problems at the intersection of vehicular and information traffic, it provides interdisciplinary training to the students involved. Lastly, it enhances the educational experience of local high school students through a science project studying vehicular ad hoc networks.

在本研究中，我们利用由配备鲁棒无线通信设备、存储、处理和感知能力的车辆组成的自组织网络来执行鲁棒交通状态估计和分布式交通管理。首先，我们将利用车辆的感知和计算能力以及自组织网格计算引擎来开发鲁棒估计和控制算法，以平滑高速公路上的车辆交通流。通过仿真和分析，我们将研究这些方案的有效性，以减少事故，最小化拥堵延迟和最大化吞吐量。我们还将研究使这种系统有效所需的渗透程度。其次，作为本研究的一部分，我们将开发软件架构、网络协议和资源管理算法，以创建网格计算引擎VGrid，并将其与路边传感器基础设施集成。由于自组织网格计算机的动态特性，拓扑结构和节点隶属关系会随着时间的变化而变化，这给自组织网格计算机的研究带来了新的挑战。第三，我们将开发一个集成的仿真工具，该工具具有现实的车辆移动模型和通信/网络层，可以捕获无线通道的动态。使用此仿真工具，我们将研究混合传感-计算-控制系统的性能特征，并确定设计和建模问题，以提高此类系统的性能。我们建议的研究既提供了另一种基础设施，又提供了管理交通流量和提高交通安全的新方法。这里开发的分布式动态传感和控制架构将使交通安全、安全和管理措施的无处不在的部署成为现实，无论哪里有VGrid类型的车辆，这减轻了对昂贵的固定基础设施的依赖，并且与传统的集中式智能交通系统相比，有可能加快响应时间。此外，了解车辆自组织网络和覆盖网格计算平台的特征将有助于开发其他应用的通用框架，如车辆碰撞避免、紧急疏散和灾难恢复。这项拟议的研究有显著的更广泛的影响。首先，通过提供可替代的基础设施和管理交通流量和提高交通安全的新方法，可以通过增加机动性和拯救人类生命的形式获得显著的社会效益。其次，由于这个项目研究的是车辆交通和信息交通的交叉问题，它为相关的学生提供了跨学科的培训。最后，通过一项研究车载自组织网络的科学项目，提高了当地高中生的教育体验。