In the Indian scenario, mixed traffic condition is seen, all vehicles use one lane, and the walking of pedestrians is a common sight being observed at the intersection. At an unsignalized junction, vehicles usually ignore lane discipline and rules of priority and tend to cross the junction without considering existing traffic. Due to this action, there is a risk of an accident, which affects the vehicle movement and capacity of the intersection. Therefore, it is very important to study driver behaviour which is very complex and it is influenced by traffic and vehicle characteristics. This paper deals with driver behaviour at unsignalized intersections analysed using fuzzy logic. Data from the study area is collected from videos recorded at an unsignalized T intersection for a duration of 1 h during peak hour. Recorded videos are played again for data extraction. Data like vehicle count and type, approach speed, size of gaps, accepted and rejected gaps are known. Models are developed in fuzzy logic using MATLAB with input as accepted gaps, vehicle speed and vehicle type to get the output of drivers’ choice as accepting or rejecting the gap. 50% of the data is used for modeling and model evaluation is carried out using 50% of the data. The models developed can be applied to different intersections with similar characters.
Study on Driver Behaviour at Unsignalized Intersection Using Fuzzy Logic
Lecture Notes in Civil Engineering
International Conference on Transportation Planning and Implementation Methodologies for Developing Countries ; 2022 ; Mumbai, India December 19, 2022 - December 21, 2022
2023-12-19
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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