Fuzzy logic for improved dilemma zone identification : a simulator study

The Type-II dilemma zone refers to the segment of roadway approaching an
intersection where drivers have difficulty deciding to stop or proceed through at
the onset of the circular yellow (CY) indication. Signalized intersection safety can
be improved when the dilemma zone is correctly identified and steps are taken to
reduce the likelihood that vehicles are caught in it. This research employs driving
simulation as a means to collect driver response data at the onset of the CY
indication to better understand and describe the dilemma zone. The data obtained
was compared against that from previous experiments documented in the
literature and the evidence suggests that driving simulator data is valid for
describing driver behavior under the given conditions. Fuzzy logic was proposed
as a tool to model driver behavior in the dilemma zone, and three such models
were developed to describe driver behavior as it relates to the speed and position
of the vehicle. These models were shown to be consistent with previous research
on this subject and were able to predict driver behavior with up to 90% accuracy. / Graduation date: 2013

Identiferoai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/30712
Date15 June 2012
CreatorsMoore, Derek (Derek Adam)
ContributorsHurwitz, David S.
Source SetsOregon State University
Languageen_US
Detected LanguageEnglish
TypeThesis/Dissertation

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