The new public transport system for Santiago, Chile, called Transantiago, brought technological advances such as a smartcard
payment system and GPS-equipped buses. These advances facilitated the automated collection of detailed information
such as bus positions and passenger boarding data. GPS observations of more than 6000 buses are available online every 30 s.
The current status of Transantiago provides an ideal scenario to apply the proposed method because the route system was
completely modified from the previous scheme.
In the present paper, we propose the use of offline GPS data to construct a broad picture of the performance of the Santiago
bus system operation over space and time. This methodology is based on speed computations that allow the detection
of segments and periods with poor circulation conditions.
In the next section, we describe the information that is available from GPS devices supplied in Transantiago. Then, a
description of the methodology used to obtain representative mean speed estimates over time and space is presented. Next,
we describe the tools that we devise to produce diagnostics of bus routes based on those estimates. Finally, some relevant
conclusions and further research directions are discussed.