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Travel Time Prediction Models for Major Arterial Road in Baghdad City using Manufactured GPS device
Author(s) -
Zainab Ahmed Alkaissi,
Ali Jabar Kadem,
Estabraq Falah Alattar
Publication year - 2021
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/1090/1/012110
Subject(s) - global positioning system , intersection (aeronautics) , travel time , traffic flow (computer networking) , computer science , acceleration , transport engineering , simulation , reliability (semiconductor) , telecommunications , engineering , power (physics) , physics , computer security , classical mechanics , quantum mechanics
Travel time on arterials can be rotten into two components, free flow travel time and delay. That’s where the difference between the observed travel time and travel time of free flow, the delay can be calculated. Which is one of the most important roadways Metrics for Traffic. Estimation of travel time and measurement of reliability are critical issues for improving the efficiency of traffic network operations and safety. The purpose of this review is to estimate overall travel time and to analyse the collected data and also to estimate the travel time through predicting model for total delay of signalized intersections. In addition, utilizing a more convenient method and tools to reflect and to achieve a more practical model of delay time for the selected urban arterial in Baghdad city. Global Positioning System (GPS) receivers have an ability to reliably measure intersection delay in terms of (deceleration delay, stopped delay, and acceleration delay). In addition to measuring the travel time for each link along the streets specified for this study (Al-Karada Kharidge street). 50 test runs were collected from GPS-equipped instrumented vehicle at off peak and peak hours of the day for each direction for selected street in this study. So, the required data collection period for two months was from December 2019 to February 2020 were identified to study the complete travel time variations and travel delay times for each link and each intersection along the identified arterial street. The field data were collected for the selected of Al-Karada Kharidge street the Baghdad University intersection to Mohamed al-Qasim intersection.

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