Date of Completion
9-4-2015
Embargo Period
9-3-2016
Advisors
Nalini Ravishanker, Norman Garrick
Field of Study
Civil Engineering
Degree
Master of Science
Open Access
Open Access
Abstract
Exclusive and concurrent phasing are the two primary traffic signal treatments for pedestrians in the state of Connecticut. Exclusive phasing, which shuts down an intersection to vehicular traffic, is commonly believed to be safer while concurrent phasing, which moves pedestrian and vehicular traffic at the same time, is often seen as more efficient. Research into the subject acknowledges that, while they exist, the safety benefits of exclusive phasing are only possible when pedestrians are compliant and cross roadways when told to by the traffic control device.
This thesis describes a comparison of pedestrian compliance between exclusive and concurrent phasing for a sample of signalized intersections in Connecticut. Pedestrians crossing each intersection were observed and classified according to what signal they crossed on as well as whether or not they were in a designated crossing area. Intersections were selected to represent both types of signal phasing while controlling for other physical characteristics. Comparisons were made using strict compliance rules, which follow the letter of the law, and relaxed compliance rules, where exclusive phased crossings were rated using concurrent phasing rules in order to see if pedestrians treaded the signal types differently. In addition to direct comparison, binomial regressions were performed with random effects to account for locational differences between sites which were not measured. It was found that not only did intersections with concurrent phasing see greater rates of pedestrian compliance, but that pedestrians in the study area appear to treat signals with exclusive phasing as though they had concurrent phasing.
Recommended Citation
McKernan, Kevin R., "Pedestrian Compliance with Concurrent and Exclusive Phasing at Traffic Signals" (2015). Master's Theses. 837.
https://digitalcommons.lib.uconn.edu/gs_theses/837
Major Advisor
John N. Ivan