Title: Investigation of Using Microscopic Traffic Simulation Tools to Predict Cyclist-Vehicle-Traffic Conflicts at Signalized Intersections
Abstract: Researchers have been questioning if traffic microsimulation tools can be used for road safety evaluations. This study examines the use traffic microsimulation to predict conflicts between right-turning vehicles and through cyclists at signalized intersections. Moreover, this study evaluates if calibrating these models to describe the driving behavior at signalized intersection significantly improves the conflicts prediction. It was found that VISSIM has the potential to predict traffic conflicts of interest. In particular, a moderate correlation was found between real conflicts and simulated conflicts of the default models (? = 0.525). A strong correlation was found between real conflicts and calibrated models’ simulated conflicts (? = 0.618). However, a one-way ANOVA test indicated that travel time calibration did not significantly affect VISSIM’s conflicts prediction accuracy. It was also found that VISSIM’s prediction accuracy is expected to decrease as either the cyclists’ volume or the product of cyclists’ volume and right-turning vehicles’ volume increase.
Publication Year: 2016
Publication Date: 2016-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 2
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