Evaluation Of The Advanced Operating System Of The Ann Arbor Transportation Authority: Impacts of an Advanced Public Transportation System: Demonstration Project

Levine, Jonathan; Hong, Qiang; Hug, George Edward; Rodriguez, Daniel · 1999 · ROSA P / University of Michigan. Urban and Regional Research Collaborative

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Summary

This paper evaluates the impacts of the Advanced Operating System (AOS), an integrated Advanced Public Transportation System (APTS) deployed by the Ann Arbor Transportation Authority (AATA) beginning in 1997. The AOS integrates automatic vehicle location (AVL), global positioning systems (GPS), mobile data terminals, and digital communications to create "smart buses," a "smart operation center," and informed "smart travelers." The study aims to assess the system’s effects on schedule adherence, transfer coordination, passenger perceptions, and driver responses, addressing the broader question of how APTS technologies influence transit operations and service quality. The evaluation employed a multidimensional, before-and-after design comparing data from 1997 (pre-deployment), 1998 (partial deployment), and 1999 (full deployment). Operational performance was measured by observing approximately 1,000 bus arrivals and departures at four major transfer points annually. Passenger perceptions were assessed through on-board surveys conducted over three springs, while driver and dispatcher attitudes were gathered via focus groups and a survey of 103 motor coach operators. The analysis focused on schedule adherence metrics, transfer times, and qualitative feedback regarding system usability and job satisfaction. Results indicated modest but statistically significant improvements in operational efficiency. While arrival schedule adherence remained unchanged, the percentage of on-time departures from major transfer points increased significantly, rising from 26% in 1997 to 44% in 1999. Transfer coordination also improved, with a notable decrease in the worst-case transfer scenarios. However, overall passenger satisfaction ratings did not increase, likely due to already high baseline satisfaction; nonetheless, passengers rated specific AOS features, such as visual time displays and automated announcements, favorably. Drivers generally viewed the technology positively, appreciating reduced administrative burdens and enhanced safety features like video surveillance. However, they expressed concerns about the loss of direct voice communication with dispatchers and other drivers, which limited their ability to creatively manage on-the-fly transfers. Veteran drivers were less satisfied than novices, and female drivers reported a greater sense of safety due to surveillance and location tracking. The study concludes that while immediate, massive retrofitting of transit systems may not be justified by short-term operational gains, the AOS demonstrates clear potential for long-term benefits. These include improved maintenance through electronic monitoring, reduced legal claim costs via video evidence, and enhanced data for planning. The authors recommend an evolutionary deployment strategy, integrating advanced technologies into new vehicles and facilities as they are replaced, rather than immediate system-wide overhauls. This approach allows transit agencies to gradually realize operational efficiencies and service improvements while mitigating the disruptions associated with rapid technological adoption.

Key finding

Departure schedule adherence improved significantly from 26 percent in the optimal category in 1997 to 44 percent in 1999, while passenger satisfaction ratings remained static despite positive feedback on specific system elements.

Methodology

mixed_methods

Sample size: 103

Provenance

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• automation surprise