Texas A&M University Campus Transit Optimization Case Study

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Texas A&M University Campus Transit Optimization Case Study

Case study showing how Texas A&M uses TripSpark CAD/AVL, scheduling, and APCs to handle 8 million annual rides with a fixed 97-bus fleet.

Published

June 4, 2026

Read time

3 min read

Source

Texas A&M University Transportation Services manages one of North America's largest campus transit networks. The university deployed TripSpark CAD/AVL, scheduling software, MDTs, and automatic passenger counters to serve 63,000 students across 5,000 acres. Real-time passenger data and drag-and-drop rostering enabled efficient routing and flexible student-driver shifts, supporting 50,000 daily riders and large event surges without fleet expansion.

Key takeaways

Real-time passenger counts and vehicle tracking support dynamic scheduling adjustments

Drag-and-drop rostering accommodates short student-driver shifts and split schedules

On-time performance and ridership reports enable route optimization without added buses

Real-time rider information reduces dispatch calls and outdoor wait times

Capacity maximized for game-day surges of 25,000+ transit users in short windows

Market overview

SCR methodology note

Vendor landscape

Leaders

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Important consideration

Original Source

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