Explanipedia

Pavement Roughness Prediction on Local Roads: Machine Learning Models and Classification Granularity Open

Mohamed S. Yamany, Nehal Elshaboury, Ahmed Abdel-Aty, Omar Smadi, Khaled Ksaibati · 2025

Effective pavement management systems are essential for accurately predicting pavement conditions and efficiently planning and scheduling maintenance, rehabilitation, and reconstruction activities. Significant efforts are dedicated to deve…

Investigation of the Effects of Crosswinds on the Aerodynamics of High-Sided Road Vehicles on Open Terrain Highways Open

Muhammad Adnan Siddique, Omar Smadi, Partha P. Sarkar · 2025

Weighting Variables for Transportation Assets Condition Indices Using Subjective Data Framework Open

Abdallah B. Al-Hamdan, Yazan Ibrahim Alatoom, Inya Nlenanya, Omar Smadi · 2024

This study proposes a novel framework for determining variables’ weights in transportation assets condition indices calculations using statistical and machine learning techniques. The methodology leverages subjective ratings alongside obje…

A Sequence-Based Hybrid Ensemble Approach for Estimating Trail Pavement Roughness Using Smartphone and Bicycle Data Open

Yazan Ibrahim Alatoom, Zia U. A. Zihan, Inya Nlenanya, Abdallah B. Al-Hamdan, Omar Smadi · 2024

Trail pavement roughness significantly impacts user experience and safety. Measuring roughness over large areas using traditional equipment is challenging and expensive. The utilization of smartphones and bicycles offers a more feasible ap…

Equity in Transportation Asset Management: A Proposed Framework Open

Sara Arezoumand, Omar Smadi · 2024

Transportation asset management has historically overlooked equity considerations. However, recently, there has been a significant increase in concerns about this issue, leading to a range of research and practices aimed at achieving more …

Evaluation of the Impact of Driver Behavior on Back of Queues Events in Work Zones Using the SHRP2 Naturalistic Driving Study Data Open

Shauna Hallmark, Guillermo Basulto‐Elias, Nicole Oneyear, Omar Smadi · 2024

The SHRP2 Naturalistic Driving Study was used to evaluate the impact of various work zone and driver characteristics on back of queue safety critical events (crash, near-crash, or conflicts) The model included 43 SCE and 209 "normal" event…

Data-Driven Approach to Decision-Making for Pavement Preservation Open

Sara Arezoumand, Alireza Sassani, Omar Smadi · 2023

Selecting the right treatment for the right pavement at the right time is fundamental to pavement preservation success. This research aimed to develop a data-driven decision-making framework for selecting pavement preservation strategies a…

Evaluation of the Impact of Driver Behavior on Back of Queues Events in Work Zones Using the Shrp2 Naturalistic Driving Study Data Open

Shauna Hallmark, Guillermo Basulto‐Elias, Nicole Oneyear, Omar Smadi · 2023

A Risk Management Database Framework Implementation for Transportation Asset Management Open

Inya Nlenanya, Omar Smadi · 2021

A 2017 survey of the state of practice on how agencies are developing their risk-based asset management plan shows that state highway agencies are increasingly adapting the way they do business to include explicit considerations of risks. …

How Prediction Accuracy Can Affect the Decision-Making Process in Pavement Management System Open

Seyed Amirhossein Hosseini, Omar Smadi · 2021

One of the most important components of pavement management systems is predicting the deterioration of the network through performance models. The accuracy of the prediction model is important for prioritizing maintenance action. This pape…

A Novel Adaptive Pixels Segmentation Algorithm for Pavement Crack Detection Open

Nima Safaei, Omar Smadi, Babak Safaei, Arezoo Masoud · 2021

Cracks considerably reduce the life span of pavement surfaces. Currently, there is a need for the development of robust automated distress evaluation systems that comprise a low-cost crack detection method for performing fast and cost-effe…

Developing Pavement Marking Management Systems: A Theoretical Model Framework Based on the Experiences of the US Transportation Agencies Open

Alireza Sassani, Omar Smadi, Neal Hawkins · 2021

Pavement markings are essential elements of transportation infrastructure with critical impacts on safety and mobility. They provide road users with the necessary information to adjust driving behavior or make calculated decisions about co…

A Novel Adaptive Pixels Segmentation Algorithm for Pavement Crack Detection Open

Nima Safaei, Omar Smadi, Babak Safaei, Arezoo Masoud · 2021

Cracks considerably reduce the life span of pavement surfaces. Currently, there is a need for the development of robust automated distress evaluation systems that comprise a low-cost crack detection method for performing fast and cost-effe…

A Novel Adaptive Pixels Segmentation Algorithm for Pavement Crack Detection Open

Nima Safaei, Omar Smadi, Babak Safaei, Arezoo Masoud · 2021

Cracks considerably reduce the life span of pavement surfaces. Currently, there is a need for the development of robust automated distress evaluation systems that comprise a low-cost crack detection method for performing fast and cost-effe…

Use of Deep Learning to Study Modeling Deterioration of Pavements a Case Study in Iowa Open

Seyed Amirhossein Hosseini, Ahmad Alhasan, Omar Smadi · 2020

This paper describes the process and outcome of deterioration modeling for three different pavement types (asphalt, concrete, and composite) in the state of Iowa. Pavement condition data is collected by the Iowa Department of Transportatio…

How Prediction Accuracy can Affect the Decision-Making Process in Pavement Management System Open

Seyed Amirhossein Hosseini, Omar Smadi · 2020

One of the most important components of pavement management systems is predicting the deterioration of the network through performance models. The accuracy of the prediction model is important for prioritizing maintenance action. This pape…

Use of Deep Learning to Study Modelling Deterioration of Pavements a Case Study in Iowa Open

Seyed Amirhossein Hosseini, Ahmad Alhasan, Omar Smadi · 2020

This paper describes the process and outcome of deterioration modeling for three different pavement types in the state of Iowa. Pavement condition data is collected by the Iowa Department of Transportation (DOT) and stored in a Pavement-Ma…

Predicting Pavement Performance Utilizing Artificial Neural Network (ANN) Open

Fawaz Alharbi, Omar Smadi · 2019

Pavement management systems (PMS) play a significant role in c ost-effective management of highway networks to optimize pavement performance over predicted service life of the pavements.Although, the Iowa DOT manages three primary highway …

The applicability of community of inquiry framework to online nursing education: A cross-sectional study Open

Omar Smadi, Stephen Parker, David Gillham, Amanda Müller · 2018

AUTOMATED SHAPE-BASED PAVEMENT CRACK DETECTION APPROACH Open

Teng Wang, Kasthurirangan Gopalakrishnan, Omar Smadi, Arun K. Somani · 2018

Pavements are critical man-made infrastructure systems that undergo repeated traffic and environmental loadings. Consequently, they deteriorate with time and manifest certain distresses. To ensure long-lasting performance and appropriate l…

Impact of Pavement Surface Condition on Roadway Departure Crash Risk in Iowa Open

Ahmad Alhasan, Inya Nlenanya, Omar Smadi, Cameron A. MacKenzie · 2018

Safety performance is a crucial component of highway network performance evaluation. Besides their devastating impact on roadway users, traffic crashes lead to substantial economic losses on both personal and societal levels. Due to the co…

Practical Approach for Pavement Treatment Decisions for Local Agencies Open

Ahmed Abdelaty, H. David Jeong, Omar Smadi · 2017

Lessons to be learned from bankruptcy filings in public-private partnership (PPP) projects in the United States Open

Omar Smadi, Offei Adarkwa, Ahmad Alhasan · 2017

Adequate infrastructure is the foundation of thriving economies worldwide.With a growing call for increased infrastructure spending in the US, experts have touted publicprivate partnerships (PPPs) as one way to meet the nation's infrastruc…

Database Development for Pavement Performance Modeling Open

Fawaz Alharbi, Omar Smadi · 2017

Pavement Management System (PMS) is defined as set of tools or methods that can support decision makers in finding the optimum strategies for providing, evaluating, and maintaining pavement condition in acceptable level.The Iowa Pavement M…

ANN Models to Correlate Structural and Functional Conditions in AC Pavements at Network Level Open

Fawaz Alharbi, Omar Smadi · 2017

Artificial Neural Network (ANN) model was developed to estimate the correlation between structural capacity and functional conditions in Asphalt Cement (AC) pavements at the network level.To achieve this objective, the relevant data were o…

Machine-Vision-Based Roadway Health Monitoring and Assessment: Development of a Shape-Based Pavement-Crack-Detection Approach Open

Teng Wang, Kasthurirangan Gopalakrishnan, Arun K. Somani, Omar Smadi, Hali̇l Ceylan · 2016

State highway agencies (SHAs) routinely employ semi-automated and automated image-based methods for network-level pavement-cracking data collection, and there are different types of pavement-cracking data collected by SHAs for reporting an…

Evaluation of the Sequential Dynamic Curve Warning System: Summary of Full Report Open

Omar Smadi, Neal Hawkins, Skylar Knickerbocker, Shauna Hallmark, Adam M. Pike · 2015

Implementing safety countermeasures on rural horizontal curves to address speeding can improve the safety performance for those locations. State safety and traffic engineers are faced with making decisions on what type of technology to use…

Iowa Pavement Asset Management Decision-Making Framework Open

Ahmed Abdelaty, H. David Jeong, Omar Smadi, Douglas D. Gransberg · 2015

Most local agencies in Iowa currently make their pavement treatment decisions based on their limited experience due primarily to lack of a systematic decision-making framework and a decision-aid tool. The lack of objective condition assess…

Crash Modification Factors for Dynamic Speed Feedback Signs on Rural Curves Open

Shauna Hallmark, Yu Qiu, Neal Hawkins, Omar Smadi · 2015

A large number of crashes occur on curves even though they account for only a small percentage of a system’s mileage. Excessive speed has been identified as a primary factor in both lane departure and curve-related crashes. A number of cou…

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