Investigation of Un-signalized Roundabouts Delay with Adaptive-Network-Based Fuzzy Inference System and Fuzzy Logic

A lot of models have been suggested for calculation and estimation of vehicles delay of signalized and un-signalized intersections. The geometry of intersection and traffic flow can affect delay imposed on vehicles. The city of Rasht, according to its own special characteristics, has a large number of un-signalized roundabouts; therefore, investigation of delay of these roundabouts could be an important issue. The objective of this paper is to use two methods fuzzy logic and adaptive-network-based fuzzy inference system to obtain the values of optimal delay in un-signalized roundabout. Based on the analysis of prediction model results, fuzzy logic and adaptive-network-based fuzzy inference system methods, the results indicate that both methods can be used for modeling and predicting the delay of un-signalized roundabouts under varying traffic parameters

Keywords:

Un-signalized Roundabout , Delay , Fuzzy Logic , Adaptive-Network-Based Fuzzy Inference System , Artificial Neural Network