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Shtayat, Amir
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Civil Engineering, Building, Construction & Architecture

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Assessing the Effect of Geometric Design and Land Use on Roundabouts Using Video Camera Al-Mistarehi, Bara; Imam, Rana; Al-Shawabkah, Majdoleen M.; Shtayat, Amir; Al-Omari, Aslam
Civil Engineering Journal Vol 10, No 11 (2024): November
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-11-012

Abstract

This study is concerned with assessing the effect of geometric design and land use on roundabouts, which are one of the most widely used traffic calming techniques. It aims to study the speed profiles before, at, and after thirty selected roundabouts in Jordan to develop models for predicting the circulating speed for through movement as a function of the land use of the roundabout, the roundabout geometric characteristics, and the approaching highway free-flow speed. A laser radar gun was used to capture speed data, and geometric characteristics were extracted from video pictures. Various parameters were employed to simulate the circulating speed, including the roundabout diameters, free flow speed, entry deviation angle, approaching highway exit width, circulating roadway width, and entry width. Speed profiles were developed for six roundabout types with different land uses and geometric characteristics. It was found that the roundabout effect on speed reduction extends to 150 m downstream the exit and upstream the entry. It was also discovered that the rate of reduction varies according to the upstream street free flow speed (FFS), with dramatic decreases observed at the last 50 m upstream of the entry. Variability in the speed values around the midpoint of the circulatory roadway was observed, with speed at the exit being higher than that at the entry. Doi: 10.28991/CEJ-2024-010-11-012 Full Text: PDF
An Automated Assessment Technique for Pavement Defects Using a Laser Scanner and Deep Machine Learning Al-Mistarehi, Bara'; Shtayat, Amir; Imam, Rana; Abdallah, Ashraf
Civil Engineering Journal Vol 11, No 3 (2025): March
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-03-015

Abstract

Roads are vital arteries and main links between and within cities. They are considered the main auxiliary factor in shortening travel time and achieving users’ comfort and safety. Governments strive to provide ideal conditions on the roads to achieve the highest levels of satisfaction, which are reflected in the quality of rides provided. Despite the variety of monitoring and evaluation methods, achieving the best and most accurate diagnosis of the condition of the roads and determining the severity of defects and appropriate and rapid maintenance methods are still lacking. This study aims to monitor and evaluate the state of some roads in Aswan City, Egypt, to identify defects and address them promptly. To achieve this goal, a laser scanner was used to evaluate pavement conditions by measuring the coordinates of the road surface and determining the differences in the measured values on the three axes. A built-in camera was also used in the laser device to monitor the type and severity of defects and match them with the measurements of the laser scanner device. Finally, a deep machine learning system, including LSTM, GRU, RF, SVM, and DT, was used to identify and classify the type and severity of defects. The prediction models showed significant accuracy with about 93%, 91%, 85%, 84%, and 82%, respectively. Doi: 10.28991/CEJ-2025-011-03-015 Full Text: PDF
Co-Authors Abdallah, Ashraf Al-Mistarehi, Bara Al-Mistarehi, Bara' Al-Omari, Aslam Al-Shawabkah, Majdoleen M. Imam, Rana