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When a dwell time equation was needed to plan a proposed campus shuttle route, no recent equations for buses could be found. However, the buses in the local system were equipped with video cameras that permitted counts of variables that might affect dwell time. Conversion of data from video to worksheets was surprisingly easy. Viewing the videos was also instructive, in terms of how passenger numbers and behavior affect dwell time, and how unusual events should be dealt with in the database. The dwell time equations that were developed from the local video data were compared with equations found in the literature. There was a distinct difference. This paper describes the video system, how the local data were transcribed, how the dwell time equations were specified and tested, and how alternate equations were applied to the proposed route. The advantages of using video as a data source are recounted.
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