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

拟议的研究计划是多伦多大学和Trapeze的合作项目，有两个主要**目标。第一个是开发一个基于云的软件解决方案，用于联合设计固定路线交通系统的战术路线计划和时间表，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，路线规划和时刻表建设通常由公交机构内部的不同部门处理，并以顺序的方式处理。该软件将允许公交机构更有效地执行一些交通规划任务，在制定过程中考虑到它们对调度(车辆和司机)的影响。这将包括通过南安大略省智能计算创新平台(SOSCIP)的计算能力，通过模拟公交服务及其乘客，更准确地评估选定的战术计划，即公交信号优先级和停靠和服务模式，以及调度选项。制定的方法将为更广泛的运输界提供价值，以考虑运输规划任务期间的调度考虑，并将模拟纳入调度过程。除了改进提供尖端公交调度解决方案的加拿大公司Trapeze的产品外，通过使公交服务对其用户更有效、对其运营商更高效，可能会给加拿大带来更普遍的好处。

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.