A 3-stage fuzzy-decision tree model for traffic signal optimization in urban city via a SDN based VANET architecture

2020 ◽  
Vol 104 ◽  
pp. 142-158 ◽  
Author(s):  
Musa Balta ◽  
İbrahim Özçeli̇k
Keyword(s):  
Decision Tree ◽  
Traffic Signal ◽  
Decision Tree Model ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Signal Optimization ◽  
Tree Model ◽  
Urban City

scholarly journals Research on Driver Behavior in Yellow Interval at Signalized Intersections

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Zhaosheng Yang ◽  
Xiujuan Tian ◽  
Wei Wang ◽  
Xiyang Zhou ◽  
Hongmei Liang
Keyword(s):  
Logistic Regression ◽  
Decision Tree ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Driver Behavior ◽  
Signalized Intersections ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Tree Model ◽  
Dilemma Zone

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.

A novel enhanced decision tree model for detecting chronic kidney disease

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Avijit Kumar Chaudhuri ◽  
Deepankar Sinha ◽  
Dilip K. Banerjee ◽  
Anirban Das
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Decision Tree ◽  
Decision Tree Model ◽  
Tree Model
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