Open AccessDevelopment a capacity model for Al-Turkmani roundabout
Author(s) -
Laith Q. Shadhan,
Zainab Ahmed Alkaissi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/888/1/012020
Subject(s) - headway , roundabout , outlier , statistics , statistical model , function (biology) , simulation , computer science , engineering , mathematics , transport engineering , evolutionary biology , biology
In this research, the main aim of this paper is to develop a statistical model for the total capacity of the roundabout as a function of influence traffic features and driver factors. The variables remain predicted to simulate the characteristics of the traffic that have most influence the capacity of the roundabout; classified as traffic conditions such as critical headway, follow-up headway, and driver behavior are involved in the building of the model by using SPSS statistical program. 30 samples have been taken, each sample representing an average of 15 readings for 15 minutes, equivalent to 450 readings for each of Critical Time Headway, follow up headway for each lane (Right, middle, Left) and Driver Factor for model one, for model 2 only Follow up time headway for the Middle lane and Driver Factor have been used. All tests for checking outliers, normality and correlation between independent variables with each other have been used for both models. Model 2 is the most significant with R2 = 91%. Validation of Observed and Theoretical Capacity is strongly liner with a Correlation coefficient = 0.938, the statistical model proves that the Follow-up headway time and driver factor have been influenced effect on the total capacity of the roundabout.