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.

人民和货运的运输无处不在，经历了一种将对社会，环境和经济产生巨大影响的转型。需求通过采用新兴运输服务来驱动这种转变。这导致综合运输系统（TS），其中私人和公共交通方式之间的历史分离也模糊了。该研究计划的总体目的是开发方法，以预测需求响应的需求响应。为了实现这一目标，我们开发（i）统计学习算法（II）优化模型和解决方案方法。