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

职业：非线性随机交通网络的信息机制和鲁棒稳定性欧阳，伊利诺伊大学厄巴纳-香槟分校所提出的努力的研究目标是揭示（i）为什么类似的系统级不稳定性问题出现在各种复杂的交通网络（例如，车辆跟随交通和物流供应链）和（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。这项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涵盖，以评估网络行为和系统特征。强大的稳定性分析工具，稳定性条件和稳定策略，占各种非线性，随机行为和操作因素将被创建，以丰富的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无关的网络系统中找出共性，并整合各自的建模方法，以提高不同领域的方法适用性。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行业产生深远的影响，并具有强大的经济和社会影响（例如，减少拥塞和资源消耗）。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各种复杂问题奠定新的基础。该项目将通过创建、整合和传播基于互联网的交互式模拟工具等创新教学材料，促成新的教育实践。将继续开展外联工作，吸引和吸引代表性不足群体的学生参与，并激发公共和私营工业部门对运输网络的研究兴趣。

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.