Modeling Efficient Work Flows: Automating Bus Stop Updates at CTA - Technical Paper

Chicago Transit Authority-Data Service & Tech Dev

Featured Paper By Jeff Schroeder & Beth Donahue

The Chicago Transit Authority has recently implemented a new schedule-driven Automated Voice Annunciation System (AVAS) for its bus fleet of more than 1800 buses, serving over 12,000 bus stops. AVAS requires the bus stop database to be highly accurate, necessitating frequent updates. The update procedure in place contained too many steps to be efficient. In response, CTA's GIS group built an automated work flow that captures and updates database changes, calculates x-and-y coordinate points, updates feature classes in SDE, and assigns user privileges. This process uses the personal geodatabase, ArcSDE 9, and ModelBuilder. Attendees will benefit from learning how to establish a work flow that results in less work with increased efficiency and accuracy.


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