Demand-Driven Optimization Of Transport Systems

需求驱动的运输系统优化

• 批准号: CRC-2018-00103
• 负责人: RobertFrejinger, Emma
• 金额: $ 8.74万
• 依托单位: Université de Montréal
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=730372
• 关键词: Demand; Driven; Optimization; Transport; Systems

The transportation of people and freight is ubiquitous and undergoes a transformation that will have tremendous impact on the society, environment and economy. Demand drives this transformation by adopting emerging transport services. This results in integrated transport systems (TS) where the historical separations between private and public transport modes as well between people and freight are blurred. The overall objective of this research program is to develop methodologies to predict demand and optimize supply of integrated TS taking the demand response into account. To achieve this objective we develop (i) statistical learning algorithms (ii) optimization models and solutions methods.

人员和货物运输无处不在，正在经历一场变革，将对社会、环境和经济产生巨大影响。需求通过采用新兴的运输服务来推动这一转变。这导致了综合交通系统（TS）的出现，私人和公共交通模式之间以及人员和货运之间的历史界限变得模糊。该研究计划的总体目标是开发方法来预测需求并优化集成 TS 的供应，同时考虑需求响应。为了实现这一目标，我们开发（i）统计学习算法（ii）优化模型和解决方法。