Optimizing Future Mobility Systems

优化未来移动系统

• 批准号: RGPIN-2017-03962
• 负责人: NaoumSawaya, Joe
• 金额: $ 1.89万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636787
• 关键词: Optimizing; Future; Mobility; Systems

The aim of this research program is to investigate optimization problems arising in the modeling, design, and operation of future mobility systems, which entails several challenges mainly related to the scale of the underlying problems. On the modeling side, the challenge is in developing models that integrate a plurality of factors such as weather conditions and energy prices along with the underlying uncertainty. On the methodological side, the challenge is in developing large scale optimization techniques that can handle the scale and the uncertainty of the problems.

该研究计划的目的是研究未来移动系统的建模，设计和操作中出现的优化问题，这需要主要与潜在问题的规模有关的几个挑战。在建模方面，挑战在于开发将天气条件和能源价格等多种因素与潜在的不确定性沿着整合的模型。在方法论方面，挑战在于开发能够处理问题的规模和不确定性的大规模优化技术。