Recurrent Traffic Congestion Patterns
A methodology has been developed to identify recurrent traffic congestion patterns over space and time using buses as “traffic probes”. Patterns observed in the Automatic Vehicle Location (AVL) data led to the methodological framework. Also the location and timing of vehicular traffic patterns as well as pedestrian and roadwork activities occurring on campus have been used to validate the ability of this methodology to efficiently process AVL data and produce meaningful indicators of recurring traffic congestion. The uniqueness of the recurring congestion approach and the validation studies on the Campus Transit Lab have separated these studies from others that attempt to use buses as traffic congestion probes.
The application of Automated Vehicle Location (AVL) technologies in public transportation is becoming more prevalent. In addition, AVL data offer an opportunity to infer traffic conditions on the roadway network where transit vehicles operate. This study focuses on the identification of detection of congestion indications and changes in recurrent congestion patterns, whether temporary (e.g., over weeks or months) or permanent in nature.