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

职业：随机交通网络鲁棒设计和优化中的信息和资源的考虑

• 批准号: 0347005
• 负责人: S. Travis Waller
• 金额: $ 40.37万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-06-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0347005&HistoricalAwards=false
• 关键词: CAREER; Accounting; Information; Recourse; Robust

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.

网络构成了不同知识领域无数问题的核心，包括交通、通信、金融/经济、社会互动等。 随着信息技术能力和在线控制机会的不断增强，每个领域都开始以某种方式（有时采用截然不同的技术）来解决信息下的网络行为问题。 此外，许多领域的传感器和信息技术的进步迅速发展，已经超出了我们对其进行完全建模和规划的方法能力。 由于这些发展相对较新的性质，整合并显着增强受这些进步影响的各个领域的知识仍然是一个紧迫的挑战。 该职业开发计划解决了复杂网络系统中信息和在线行为建模的问题，此外还通过利用各种现有方法来寻找共性并通过新问题和解决方案增强方法来开发设计此类网络的方法。 该职业计划中新引入的模型包括用户均衡与追索问题，该问题描述了所有网络旅行者在给定信息、交互和追索机会的情况下的在线行为。 新的解决方案方法将包括基本路由算法开发、数学编程和模拟技术的组合，以解决网络行为、信息、资源、动态和不确定性的关键概念。该职业计划的发展有可能推动许多采用网络建模的领域，其中在线用户行为很重要。 此外，该计划还提供了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课程中，并继续努力让年轻学生参与工程学。 通常，网络行为是非常违反直觉的，当考虑在线行为和动态时更是如此。 该职业发展计划将继续努力，以提高学生对理解和理解随机动态网络行为与信息的复杂性所需的中心方法和应用的接触程度。