CAREER: Information Mechanisms and Robust Stabilization of Nonlinear, Stochastic Transportation Networks

研究方向：非线性随机交通网络的信息机制和鲁强稳定性研究方向：欧阳阳，美国伊利诺伊大学香槟分校。本文的研究目标是揭示(i)为什么在各种复杂的交通网络（如汽车跟随交通和物流供应链）中会出现类似的系统级不稳定性问题，以及（ii）如何提供和利用信息来改善系统稳定性和集体网络行为。本研究将开发一个统一的框架，其中不同网络的动态被总体数学模型所包含，以评估网络行为和系统特征。将创建健壮的稳定性分析工具、稳定性条件和稳定策略，以解释各种非线性、随机行为和操作因素，以丰富对信息提供和利用如何改善网络行为的理解。这项工作有可能从看似不相关的网络系统中找出共性，并整合它们各自的建模方法，以增强方法在不同领域中的适用性。拟议的研究项目预计将提供重要的管理见解和控制策略，有望稳定和改善各种运输网络的运营，这将对运输和货运物流业产生深远的影响，具有强大的经济和社会意义（例如，减少拥堵和资源消耗）。通过该项目创建的新的综合分析框架将为解决不同科学领域的广泛复杂问题奠定新的基础。本计画将透过创造、整合及传播创新教材，例如以网际网路为基础的互动模拟工具，引领新的教育实践。将继续进行外联努力，使代表人数不足的群体的学生参与并吸引他们，并激发公共和私营工业部门对交通网络的研究兴趣。

CAREER: Information Mechanisms and Robust Stabilization of Nonlinear, Stochastic Transportation NetworksYanfeng Ouyang, University of Illinois at Urbana-ChampaignThe research objective of the proposed efforts is to reveal (i) why similar system-level instability problems arise in a variety of complex transportation networks (e.g., car-following traffic and logistics supply chains) and (ii) how to provide and utilize information to improve system stability and collective network behavior. This research will develop a unified framework where the dynamics of different networks are encompassed by overarching mathematical models to evaluate network behaviors and system characteristics. Robust stability analysis tools, stability conditions, and stabilization strategies that account for various nonlinear, stochastic behavioral and operational factors will be created to enrich the understanding of how information provision and utilization may improve network behavior. This work has the potential to bring out commonalities from seemingly unrelated network systems, and integrate their respective modeling approaches to enhance the methodological applicability within different domains. The proposed research project is expected to provide significant managerial insights and control strategies that hold the promise of stabilizing and improving operations of a variety of transportation networks, which will have a profound impact on the transportation and freight logistics industry with strong economical and societal implications (e.g., reducing congestion and resource consumption). The new integrated analysis framework created through this project will lay a novel foundation for solutions to a wide range of complex problems in diverse scientific fields. This project will lead to new educational practices by the creation, integration, and dissemination of innovative teaching materials such as Internet-based interactive simulation tools. Outreach efforts will continue to be conducted to involve and attract students from underrepresented groups and to stimulate research interests in transportation networks among public and private industry sectors.