Observing and fixing transit vehicle’s schedule adherence problems have always been one of the main priorities of a transit agency, and different approaches have been developed over time to help reflect transit vehicle’s performance and where the improvements should be focuses. Unlike traditional performance analysis that generates reports of the bus’s performance based on some performance measures such as 'on-time percentage’ at each timepoint, in this study, a methodology is developed that uses the on-time performance of individual transit vehicles on each segment of the route to identify systemic problems with the transit schedule and then make recommended adjustments to the schedule for the next schedule period.The output of the proposed methodology in this research study consists of:1.On-time performance measures for each segment of the route of interest;2.Recommended changes to the transit schedule.These recommendations can be made under two different assumptions related to transit agency resources.The ;;Resource unconstrained” approach assumes that there is no constrain on the amount of time that can be added to the schedule.The ;;Resource constrained” approach assumes that time can be reallocated within the schedule, but the route traversal time must not be extended.The proposed method provides transit agencies with a mechanism to effectively adjust bus schedules to improve on-time performance.An application of the proposed methodology is conducted and tested on Automatic Vehicle Location (AVL) and Automatic Passenger Counting (APC) system records from Grand River Transit which is located in Waterloo Region of Ontario, Canada.
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Automatic Transit Schedule Updating Using AVL/APC System
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