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The original Marey graph, published in 1885, has become a frequent example of innovative design in data visualization. It plots a French train timetable on a time-space diagram, intuitively depicting the paths of trains throughout the day. These graphs continue to be used in transit-related applications such as the Google Transit Feed Specification (GTFS) Schedule Viewer. This paper repurposes the original Marey graph for use in transit performance measurement by adding schedule adherence and passenger load information. APC data preprocessing steps are described and technological issues related to the development of the visualization are discussed. Finally, this paper demonstrates how the Marey graph enables quick visual identification of vehicle performance trends across space and time.
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