Development of Vehicle Queue Model for Selected Signalized Intersections at CBD in Sulaymaniyah City

Abstract

The objective of this paper is to develop an empirical model for queue length prediction at Signalized Intersections as a function of influence traffic and geometric features. Two Signalized Intersections with different characteristics are selected in Sulaymaniyah city. Geometric design elements were measured through a field survey and satellite image. Field traffic volumes, signal timings and phasing, control delay and queue length were measured during peak and off-peak periods using video recording technique. A statistical approach (SPSS) is used to develop a queue length model. The statistical analysis indicates that both geometric and traffic variables have a significant effect on queue length. The regression model, developed to estimate queue length, shows good correlation with field values. The model has been compared with the SYNCHRO software model. It is found that although SYNCHRO queue overestimates at high v/c (range, but it does not have a significant difference with the field queue a 95% confidence level.