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Title: New Measure Quantifying Drivers’ Decision Making Behavior while Facing Amber light
Accession Number: 01506186
Record Type: Component
Abstract: For years, great attention has been drawn to the Dilemma Zone (DZ) problem as it has been questioned as one of the causes to the high traffic accident records at signalized junctions. This problem has far been investigated in engineering perspectives, but few attempt to investigate influences of drivers’ decision making behavior. Since Zegeer and Dean (1978), Logistic regression model has commonly been adopted to simulate drivers’ STOP/GO decision and figure out DZ boundary; Discrete choice model, for instance Logit model which has similar underlying nature as the Logistic regression model has however few been used. The un-popularity of the Logit model might be because it requires individual attributes for establishing utility functions of STOP and GO decisions; only field observed data cannot be used for this purpose. Therefore, a new measure termed generalized distance was proposed. The proposed measure is of two folds: (1) it is used to quantify and assess drivers’ decision making behavior; and (2) it can be used to establish utility functions of STOP and GO decisions and thus Logit model was adopted in this study. The results reveal that, during the observation period, drivers were more likely to GO at amber; and, interestingly, drivers who maneuvered over speed limit were more likely to STOP. The findings of this study also suggest that drivers’ decision making behavior should first be assessed as to decide appropriate road safety interventions for the reported problem.
Supplemental Notes: Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
Monograph Title: Monograph Accession #: 01501394
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Tse, L YSumalee, AHung, W TPagination: 16p
Publication Date: 2011
Conference:
3rd International Conference on Road Safety and Simulation
Location:
Indianapolis Indiana, United States Media Type: Digital/other
Features: Figures; Photos; References; Tables
TRT Terms: Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor
Files: TRIS, TRB, ATRI
Created Date: Jan 29 2014 12:37PM
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