NSF/USDOT Partnership for Exploratory Research - ICSST: Decentralized Surveillance, Control and Data Transmission for Transportation Applications

机构：俄亥俄州立大学研究基金会。交通应用的分散监控、控制和数据传输本研究将重新审视高速公路运营机构使用的控制和数据传输系统，以降低综合监控和通信成本，同时不牺牲交通管理效率。这些机构依靠自动监控工具来监控整个道路网络的状况。在常规操作下，定点监控系统以恒定的间隔传输数据，以便在条件变化时快速响应。然而，大多数时候，对数据的反应只是不需要采取任何行动。所需的通信网络和传输成本可能会变得很大。一些州每年花费数百万美元来支付相关的通信费用。随着未来新的交通管理监控技术的部署，这一问题将会加剧。该研究将开发分布式控制算法来进行现场决策，系统只在有利于大规模控制的情况下传输数据。研究将侧重于根据监测站的普遍情况决定是否传输数据，以降低监测成本。这种事件驱动方法的关键是最近出现的新通信技术，例如蜂窝数字分组数据。随着现场处理能力的略微提高，探测器站可以在条件需要报告时立即启动通信。本研究的基本贡献包括量化信息的好处，建模各种通信网络拓扑以优化系统性能，为这些网络开发有效的通信和分布式控制算法，并在详细的案例研究中展示工作。

PI:CoifmanInstitution: Ohio State University Research Foundation.Decentralized surveillance, control and data transmission for transportation applicationsThis research will reexamine the control and data transmission systems used by highway operating agencies to reduce the combined surveillance and communications costs, without sacrificing traffic management effectiveness. These agencies rely on automated surveillance tools to monitor conditions throughout the road network. Under conventional operation, the fixed-point surveillance systems transmit data at constant intervals to allow for a rapid response when conditions change. Yet most of the time, the response to the data is simply that no action is necessary. The required communications network and transmission costs can become significant. Some states spend several million dollars each year to cover the associated communication expenses. This problem will intensify as new traffic management surveillance technologies are deployed in the future.The research will develop distributed control algorithms to make decisions in the field and the systems will only transmit data when it would be beneficial for wide scale control. The research will focus on the decision to transmit data, based on prevailing conditions at the detector station, to reduce the costs of surveillance. Key to this event driven approach is the recent emergence of new communication technologies, such as cellular digital packet data. With a slight increase of processing power in the field, the detector station could initiate communications as soon as conditions warrant reporting. The fundamental contributions of this research include quantifying the benefits of information, modeling various communication network topologies to optimize system performance, developing efficient communication and distributed control algorithms for these networks, and demonstrating the work in a detailed case study.