Optimizing Scheduling Efficiency and Enhancing Service Planning Using Technology - by Chair Jamaal Myers, seconded by Commissioner Dianne Saxe

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The decision

2025-05-14 · Toronto Transit Commission Board · adopted

As filed

The TTC Board: 1. Directed TTC staff to conduct an analysis of surface corridor TTC routes where multiple TTC routes operate on the same corridor to optimize scheduling efficiency, improve blended headways and customers wait times and identify opportunities and implications for scheduling and operational adjustments that minimize bunching and gapping and enhance coordination between routes serving the same corridor. 2.

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Directed TTC staff to explore opportunities to use artificial intelligence (AI) and predictive analytics to enhance our service planning and scheduling and management of gapping and bunching, and report back through the Strategic Planning Committee on best practices and priority actions to be integrated in the 2026 Operating and Capital Budgets.

On the agenda

As the city filed it

Currently, TTC vehicles are not considered "bunched" for purposes of route planning, if multiple buses are traveling together so long as they are representing different bus routes. This motion directs staff to review bunching and gapping on all routes where multiple TTC routes use the same corridor to explore how scheduling can be optimized to improve headways and reduce bunching and gapping of vehicles. This motion also

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directs staff to explore how Al and predictive analytics can be used to enhance service planning and the management of gapping and bunching on all routes and make recommendations for priority actions that could be integrated into the 2026 Operating and Capital budgets.

Staff recommended

Chair Jamaal Myers, seconded by Commissioner Dianne Saxe, recommends that the TTC Board: 1. Direct TTC staff to conduct an analysis of surface corridor TTC routes where multiple TTC routes operate on the same corridor to optimize scheduling efficiency, improve blended headways and customers wait times and identify opportunities and implications for scheduling and operational adjustments that minimize bunching and gapping and enhance coordination between routes serving the same corridor.

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2. Direct TTC staff to explore opportunities to use artificial intelligence (AI) and predictive analytics to enhance our service planning and scheduling and management of gapping and bunching, and report back through the Strategic Planning Committee on best practices and priority actions to be integrated in the 2026 Operating and Capital Budgets.

On the record

The item as the City filed it

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