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

职业生涯：非线性随机运输网络的信息机制和稳健稳定伊利诺伊大学香槟分校的欧阳燕峰建议的研究目标是揭示(I)为什么在各种复杂的运输网络(例如，跟车交通和物流供应链)中会出现类似的系统级不稳定问题，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。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包围，以评估网络行为和系统特征。将创建考虑各种非线性、随机行为和操作因素的稳健稳定分析工具、稳定条件和稳定策略，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挖掘出共性，并整合它们各自的建模方法，以增强不同领域内的方法论适用性。预计拟议的研究项目将提供重要的管理见解和控制战略，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影响，具有强大的经济和社会影响(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、整合和传播创新的教材，如基于互联网的互动模拟工具，来引导新的教育实践。将继续开展外联工作，让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.