Joint optimization of route design and schedules for fixed route transit systems

固定路线交通系统的路线设计和班次联合优化

• 批准号: 499160-2016
• 负责人: Shalaby, Amer
• 金额: $ 2.71万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=664835
• 关键词: Joint; optimization; route; design; schedules

The proposed research programme, a partnership between the University of Toronto and Trapeze, has two main**goals. The first is to develop a cloud-based software solution for jointly devising tactical route plans and schedules for fixed-route transit systems, while the second is to apply this software on a real-world case study, utilizing new sources of transit data. Because of their complexity, route planning and schedule construction are commonly handled by different departments within transit agencies, and handled in a sequential fashion. This software will allow transit agencies to more efficiently perform some transit planning tasks by accounting for their impact on scheduling (both vehicle and driver) during their formulation. This will include more accurate evaluation of selected tactical plans, namely transit signal priority and stop and service patterns, and scheduling options through simulation of transit service and its riders, enabled by the computational power of the Southern Ontario Smart Computing Innovation Platform (SOSCIP). Value will be provided for the broader transit community in the methods developed to account for scheduling considerations during transit planning tasks and in incorporating simulation as part of the scheduling process. In addition to improving the offerings of Trapeze, a Canadian company providing leading-edge transit scheduling solutions, more general benefits to Canada may arise by enabling transit service to be more effective for its users and more efficient for its operators.

这个拟议中的研究项目由多伦多大学和空中飞人合作开展，有两个主要目标。第一个是开发一种基于云的软件解决方案，用于共同设计固定路线交通系统的战术路线计划和时间表，而第二个是利用新的交通数据来源，将该软件应用于现实世界的案例研究。由于其复杂性，路线规划和时间表建设通常由运输机构内的不同部门处理，并以顺序方式处理。该软件将允许运输机构更有效地执行一些运输规划任务，通过考虑它们在制定过程中对调度（车辆和驾驶员）的影响。这将包括更准确地评估选定的战术计划，即交通信号优先级、停车和服务模式，以及通过模拟交通服务及其乘客的调度选项，这些都是由南安大略智能计算创新平台（SOSCIP）的计算能力实现的。为考虑过境规划任务期间的调度考虑而制定的方法以及将模拟纳入调度过程的一部分，将为更广泛的过境界提供价值。除了改善提供领先交通调度解决方案的加拿大公司Trapeze的服务外，通过使交通服务对其用户更有效，对其运营商更有效，可能会给加拿大带来更多的总体利益。