EVALUATION OF THE FUNDAMENTAL TRAFFIC RELATIONSHIPS AND THE SERVICE MEASURES OF URBAN ROADWAY SECTION IN FALLUJA CITY

Abstract

This research represents an evaluation of roadway section. The objective of this study was to evaluate the fundamental relationships and service quality of traffic flow for an urban street section in Falluja city by developing a statistical models to predict speed-flow-density relationships.

Based on surveys, Al-Tharthar street section, which starts from Baghdad main road and ends at the roundabout facility which leads to Al- Saqlawia direction, was selected to satisfy the objectives and specifications of this study. Data were collected by using video-recording technique. The required data were abstracted by using the EVENT program. The abstracted data were analyzed, grouped, and processed using computer programs which were written using Visual Basic programming language, developed for this purpose. Standard statistical analysis techniques were used to examine and analyze the observed data. The produced data indicate that the vehicles arrival follow Negative exponential distribution and Erlang distribution for the north bound and south bound for the two segments of the highway section respectively, while the speed frequency distributions show that they follow normal and log normal distributions for segment one and segment two, respectively. Field surveys were done to collect new data that were abstracted and processed to build statistical regression model which was used to predict speed, flow, and density relationships. Collected data also used to evaluate the level of service of selected highway section. The FWASIM simulation traffic software program was used to verify the statistical developed traffic stream model. The obtained results are presented in this research. To test the validity and reliability of the model, the output results of predicated model were compared with output data obtained from FWASIM model using similar input data and segment geometry. The comparison shows a good agreement between the statistical and simulated model results.