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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 518782, 8 pages
Research Article

Research on Driver Behavior in Yellow Interval at Signalized Intersections

1State Key Laboratory of Automobile Dynamic Simulation, Jilin University, Changchun 130022, China
2College of Transportation, Jilin University, Changchun 130022, China
3Jilin Province Key Laboratory of Road Traffic, College of Transportation, Jilin University, Changchun 130022, China

Received 11 June 2014; Accepted 5 August 2014; Published 26 August 2014

Academic Editor: Huimin Niu

Copyright © 2014 Zhaosheng Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Vehicles are often caught in dilemma zone when they approach signalized intersections in yellow interval. The existence of dilemma zone which is significantly influenced by driver behavior seriously affects the efficiency and safety of intersections. This paper proposes the driver behavior models in yellow interval by logistic regression and fuzzy decision tree modeling, respectively, based on camera image data. Vehicle’s speed and distance to stop line are considered in logistic regression model, which also brings in a dummy variable to describe installation of countdown timer display. Fuzzy decision tree model is generated by FID3 algorithm whose heuristic information is fuzzy information entropy based on membership functions. This paper concludes that fuzzy decision tree is more accurate to describe driver behavior at signalized intersection than logistic regression model.