Transfer Synchronization & Transit Scheduling

Stochastic and mixed-integer programming models that coordinate timetables so riders make their connections under real-world uncertainty.

Public transit only feels seamless when a rider steps off one vehicle and onto the next without a long, exposed wait. My doctoral research formulated transfer synchronization as an optimization problem, building two-stage stochastic and mixed-integer linear programs that hold connections feasible even as passenger walking times, running times, dwell times and demand refuse to stay fixed — and pairing them with Lagrangian-based heuristics that make the models solvable at network scale.

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Projects

Transfer Synchronization in Transit Networks

Completed

A comprehensive stochastic and mixed-integer programming framework for synchronizing transfers across a bus network, with a Lagrangian-based heuristic solution method.

Institution: University of Toronto
Timeline: Sep 2016–Jun 2022

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