Travel time prediction models in Baghdad City a case study

• Published in: AIP conference proceedings 2024-10, Vol.3249 (1)
• Main Authors: Taher, Shaymaa Hasan, Alkaissi, Zainab Ahmed
• Format: Article
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0237287

The Travel time reliability consider one of the most important performance measures for transportation systems. The goal of this paper is to estimate the travel time and predict the delay time of two routes studied in Baghdad city by using a GPS device: the first route, Safi AL-Den Street; the second route, the Palestine corridor, north and south direction (8:00 a.m.–9:00 p.m.). In the first route north direction, approximately 65% of travel time have been lost as a result of higher traffic jams during the morning peak hour; similarly, in the south direction on link 3, about 64.5% of travel time have been lost as aresult of traffic jams. In Palestine Street, the highest travel time and delay occur in the north direction on link 1, which is mainly attributed to the high volume of trips to Bab al-Muadham during the morning peak hour, resulting in approximately 65.9% of travel time being lost. In the south direction, the highest travel time and delay occur on link 1 during the evening peak hour, accounting for approximately 63.4% of lost travel time. Predictive models have been created for the two analyzed routes, utilizing the collected field data. The best fit is determined by comparing the predicted models with the observed field travel time data for the two analyzed routes. This analysis demonstrates that the predicted model accurately represents the actual field data.