CAREER: Accounting for Information and Recourse in the Robust Design and Optimization of Stochastic Transportation Networks

网络构成了各种知识领域中无数问题的核心，包括交通、通信、金融/经济、社会互动和许多其他领域。随着信息技术能力的增强和在线控制机会的增加，每个领域都以某种方式来解决信息下的网络行为问题，有时使用的技术截然不同。此外，传感器和信息技术在许多领域的进展迅速，已经超出了我们的方法能力，无法对它们进行充分的建模和规划。由于这些事态发展的性质相对较新，整合和显著加强受这些进展影响的每个领域的知识仍然是一项紧迫的挑战。这一职业发展计划解决了在复杂网络系统中对信息和在线行为进行建模的问题，并开发了设计此类网络的方法，方法是利用现有的各种方法来寻找共同点，并用新的问题和解决方案来增强方法。这个职业项目中新引入的模型包括用户平衡和资源问题，该问题描述了所有网络旅行者在给定信息、互动和资源机会的情况下的在线行为。新的解决方法将包括基本路由算法开发、数学规划和模拟技术的组合，以解决网络行为、信息、资源、动态和不确定性等关键概念。这一职业规划的发展有可能推动许多采用网络建模的领域，其中在线用户行为是重要的。此外，该项目提供了一个开发基于网络的学习工具的机会，将行为的重要方面与信息整合到本科生和研究生的课程中，并继续扩大努力，让年轻学生参与到工程学中来。通常，网络行为是非常违反直觉的，当考虑到在线行为和动态时，情况更是如此。该职业发展计划将继续努力提高学生在理解和理解信息中随机动态网络行为的复杂性所需的核心方法和应用方面的曝光率。

Networks form the core of countless problems in diverse fields of knowledge including transportation, communications, finance/economics, social interaction and many others. With the increasing capabilities of information technology and online control opportunities, each field has come to address the issue of network behavior under information in some manner, sometimes with vastly differing techniques. Further, the advances in sensor and information technology for many fields have occurred rapidly and have exceeded our methodological ability to fully model and plan for them. As a result of the relatively recent nature of these developments, it remains a pressing challenge to integrate and significantly enhance the knowledge from each field impacted by such advances. This CAREER development program addresses the problem of modeling information and online behavior in complex network systems in addition to developing approaches for designing such networks by leveraging the diverse existing methods to find commonalities and augmenting the methods with new problems and solution approaches. Newly introduced models in this CAREER program include the user equilibrium with recourse problem which describes the online behavior of all network travelers given information, interaction, and recourse opportunities. The new solution methods will consist of a combination of fundamental routing algorithm development, mathematical programming, and simulation techniques to address the key concepts of network behavior, information, recourse, dynamics, and uncertainty.The developments from this CAREER plan have the potential of advancing numerous fields that employ network modeling where online user behavior is important. Further, this program provides an opportunity to develop web-based learning tools, integrate vital aspects of behavior with information into the undergraduate and graduate curriculum, and continue outreach efforts to involve younger students in engineering. Often, network behavior is very counter-intuitive and it is even more so when online behavior and dynamics are considered. A continued effort will be made in this CAREER development program to improve the exposure students receive regarding the central methodologies and applications required to understand and appreciate the complexities of stochastic dynamic network behavior with information.