مختصر السيرة الذاتية

Dr. Fadi Alhomaidat is an Associate Professor in the Department of Civil Engineering at Al-Hussein Bin Talal University (AHU) in Maan, Jordan. He earned his Ph.D. in Civil Engineering with a focus on Transportation from Western Michigan University in May 2019, where his research examined the impact of freeway speed limits on the safety and operational speed of adjacent arterial roads. Prior to his doctorate, Dr. Alhomaidat completed a Masters degree in Civil Engineering at the University of Texas at Arlington in May 2015, focusing on the application of the moving observer method for estimating speed and traffic flow in the Dallas-Fort Worth region. He also holds a Bachelors degree in Civil Engineering from Mutah University, obtained in January 2011. Dr. Alhomaidats professional experience includes serving as a Transportation Modeler at the Southeast Michigan Council of Governments (SEMCOG) in Detroit, Michigan, where he analyzed commercial vehicle and freight data to support regional freight planning activities. He has also held teaching and research positions at Western Michigan University and has practical experience as a site engineer with construction companies in Jordan. His research interests encompass motorized and non-motorized traffic safety, simulation and operations, intelligent transportation systems, GIS applications in transportation engineering, travel behavior and forecasting, machine learning applications in transportation engineering, and sustainability in transportation and civil engineering. Dr. Alhomaidat has been recognized for his contributions to the field, including receiving the Institute of Transportation Engineers (ITE) 2017 student paper award for his work on cycling risk perception across different age groups. He has published numerous articles in reputable journals and has presented his research at international conferences. In addition to his academic and research endeavors, Dr. Alhomaidat has supervised graduate and undergraduate projects, contributed to curriculum development, and participated in various committees at AHU. His work continues to influence the field of transportation engineering, particularly in areas related to traffic safety and the application of advanced technologies in transportation systems.

الدرجة التخصص الجامعة السنة
شاهد المؤهلات
 Western Michigan University, Michigan, USA Ph.D. of Civil Engineering/ Transportation, Apr 2019 ".Research Topic: “Impact of Freeway Speed limit on Safety and Operation Speed of Adjacent Arterial Roads   .University of Texas at Arlington, Texas, USA Master of Civil Engineering/ Transportation, May 2015 Research Topic:” Application of moving observer method for estimation of speed and traffic flow in the DFW region in 2015   Mutah University Mutah. Al-Karak B.S. in Civil Engineering, Jan 2011 ".Senior Project “Improve soil stabilization for base and sub-base road by using chemical material.” -
 2000
المنصب الجامعة / القسم الفترة
Associate Professor
 Al-Hussein Bin Talal Univeristy
Engineering College Civil Engineering Department		 2023/11
حتى الآن
Assistant Professor
 Al-Hussein Bin Talal Univeristy
Engineering College Civil Engineering Department		 2019/07
2023/11
المنصب المؤسسة الفترة
Director of Academic Development and Quality Assurance Center
 Al-Hussein Bin Talal Univeristy 2025/09
حتى الآن
Dean Assistant for Quality Assurance
 Al-Hussein Bin Talal Univeristy 2023/09
2025/09
Chair of Civil Engineering Department
 Al-Hussein Bin Talal Univeristy 2020/09
2022/09
1
Modeling Crash Injury Severity for Vulnerable Road Users Using CatBoost and SHAP: Uncovering Complex Risk Interactions
Mousa Abushattal, Mohammad Nour Al-Marafi, Rasha Al-Shamaseen, Fadi Alhomaidat, Fareh Abudawaba, Ahmed Jaber
مقالة في مجلة علمية 2026
المجلةVehicles
تاريخ النشر2026/07/27
المؤلفونMousa Abushattal, Mohammad Nour Al-Marafi, Rasha Al-Shamaseen, Fadi Alhomaidat, Fareh Abudawaba, Ahmed Jaber
نوع المنشورمقالة في مجلة علمية
Rapid urbanization and increasing traffic density have increased the crash risk of vulnerable road users (VRUs), particularly pedestrians and cyclists. Meanwhile, the conventional statistical models have difficulties in capturing the nonlinear and complex nature of crash data, limiting their safety analysis effectiveness. This study utilized advanced Gradient Boosting machine learning and integrated it with SHapley Additive exPlanations (SHAP) using five years of crash data from Michigan, USA, employing a two-tiered modeling design consisting of a 4-class joint structure and binary subset frameworks. Rigorously evaluated using 10-fold stratified cross-validation to predict crash severity for VRUs, the CatBoost model had better predictive performance (AUC = 0.917) than LightGBM, Random Forest and the traditional Logistic Regression models. The analysis further indicated that prior crash actions, particularly risky crossing behaviors, are the most significant determinants of injury severity for both user groups. However, the pedestrian crash severity is strongly associated with lighting conditions and speed limits, while cyclist crash severity is more heavily influenced by intersection involvement and roadway geometry. Moreover, SHAP interaction analysis showed that the speed effect on severity significantly increases when it interacts with hazardous actions or poor visibility. The findings provide a critical insight into the implementation of effective measures and infrastructure improvements to increase the safety of VRUs.
2
Temporal Optimization of Dynamic Message Signs: A Survival Analysis of Driver Comprehension Factors
Mousa Abushattal, Fadi Alhomaidat, Rasha Al-Shamaseen, Mohammad Al-Marafi, Layan Alkodary, Ahmed Jaber
مقالة في مجلة علمية 2026
المجلةVehicles
تاريخ النشر2026/03/08
المؤلفونMousa Abushattal, Fadi Alhomaidat, Rasha Al-Shamaseen, Mohammad Al-Marafi, Layan Alkodary, Ahmed Jaber
نوع المنشورمقالة في مجلة علمية
Dynamic Message Signs (DMSs) play a critical role in conveying real-time traffic information to drivers; however, their effectiveness heavily relies on how messages are structured and displayed, particularly regarding phasing duration and content length. This study examines the influence of these two factors on driver readability, comprehension, and gaze behavior using an advanced virtual reality (VR) driving simulator. Controlled experiments simulated four DMS scenarios, combining two phasing intervals (2.5 and 4 s) with short and long message formats, adhering to Michigan Department of Transportation (MDOT) guidelines. The experiment integrated eye-tracking technology to measure fixation duration and frequency, while statistical methods, including survival analysis and LASSO regression, were employed to identify significant predictors of message readability. Results revealed that shorter messages with shorter phasing intervals led to the highest comprehension rates and reduced cognitive strain. Furthermore, individual characteristics such as gender, driving speed, and highway driving experience significantly affected how drivers engaged with DMS messages. These findings contribute to the development of more effective DMS deployment strategies and provide practical design recommendations to enhance traffic safety and information delivery on high-speed roadways.
3
Investigating Travel Behavioral Changes throughout 10 Years: A Case Study on Southeast Michigan
Fadi Alhomaidat, Taqwa Alhadidi, Tamer Eljufout, Mousa Abushattal, Ahmed Jalil Al-Bayati
مقالة في مجلة علمية 2026
المجلةJournal of Urban Planning and Development
تاريخ النشر2026/03/01
المؤلفونFadi Alhomaidat, Taqwa Alhadidi, Tamer Eljufout, Mousa Abushattal, Ahmed Jalil Al-Bayati
نوع المنشورمقالة في مجلة علمية
This paper presents a descriptive analysis of travel behavior over 10 years using household survey data collected by the Southeast Michigan Council of Governments (SEMCOG) in 2005 and 2015, respectively. The data used in this work were 12,000 and 6,500 sample sizes for 2005 and 2015, respectively. Generally, results indicated that a 12% reduction in all trip rates occurred during the study period. On the other hand, trip rates for multiple age ranges, including the elderly, increased from 2005 to 2015. Also, the average travel distance for all modes increased during the study period, and transit was mainly used for long travel distances. Also, several spatiotemporal changes in human travel behavior were analyzed using different travel indicators, namely, travel time, trip purpose, travel mode, and travel distance. The analysis results show the change in travel behavior across different counties in the SEMCOG area during the study period. The study indicates that the travel time changes across different travel modes, as well as trip purposes, were influenced by the economic impact changes during the study period. It was found that travel time distributions for most purposes are concentrated on trips of travel time shorter than 40 min.
4
Electric vehicle charging infrastructure with hybrid renewable energy: A feasibility study in Jordan
Ahmad Salah, Mohammad Shalby, Mohammad Al-Soeidat, Fadi Alhomaidat
مقالة في مجلة علمية 2025
المجلةWorld Electric Vehicle Journal
تاريخ النشر2025/09/30
المؤلفونAhmad Salah, Mohammad Shalby, Mohammad Al-Soeidat, Fadi Alhomaidat
نوع المنشورمقالة في مجلة علمية
Abstract Jordan Vision prioritizes the utilization of domestic resources, particularly renewable energy. The transportation sector, responsible for 49% of national energy consumption, remains central to this transition and accounts for around 28% of total greenhouse gas emissions. Electric vehicles (EVs) offer a promising solution to reduce waste and pollution, but they also pose challenges for grid stability and charging infrastructure development. This study addresses a critical gap in the planning of renewable-powered EV charging stations along Jordanian highways, where EV infrastructure is still limited and underdeveloped, by optimizing the design of a hybrid energy charging station using HOMER Grid (v1.9.2) Software. Region-specific constraints and multiple operational scenarios, including rooftop PV integration, are assessed to balance cost, performance, and reliability. This study also investigates suitable locations for charging stations along the Sahrawi Highway in Jordan. The proposed station, powered by a hybrid system of 53% wind and 29% solar energy, is projected to generate 1.466 million kWh annually at USD 0.0375/kWh, reducing CO2 emissions by approximately 446 tonnes annually. The findings highlight the potential of hybrid systems to increase renewable energy penetration, support national sustainability targets, and offer viable investment opportunities for policymakers and the private sector in Jordan.
5
Effects of intersection control types on driver yielding behavior to cyclists using mixed logit modeling
Mousa Abushattal, Fadi Alhomaidat & Mohammad El-Yabroudi
مقالة في مجلة علمية 2025
المجلةScientific Reports
تاريخ النشر2025/09/30
المؤلفونMousa Abushattal, Fadi Alhomaidat & Mohammad El-Yabroudi
نوع المنشورمقالة في مجلة علمية
Cycling safety at intersections is a growing concern as both cycling activity and motor vehicle traffic continue to rise. Intersections pose heightened risks for cyclists due to complex traffic patterns, ambiguous right-of-way rules, and insufficient signaling, often leading to collisions. This study investigates how intersection control types and operational characteristics influence driver failure-to-yield behavior toward cyclists. Using ten years of Michigan crash data involving single motor vehicle–cyclist collisions, we apply a Mixed Logit Model to account for unobserved heterogeneity in driver behavior. The analysis focuses on three types of intersection control: traffic signals, stop/yield signs, and uncontrolled intersections, examining their impact on various driver-cyclist interaction scenarios. Key findings indicate that driver age, day of the week, vehicle type, and speed limit consistently affect yielding behavior across all control types. Impairment due to alcohol or drugs significantly increases the likelihood of hazardous driver actions. Drivers are more prone to fail to yield in straight-ahead scenarios, though they are less likely to be deemed at fault in non-yield crashes. Intersection control effectiveness also varies by maneuver type; signalized intersections reduce failure rates in straight-travel scenarios, while stop/yield signs are more effective during left turns. This research addresses a critical gap by linking infrastructure features with driver yielding performance, offering evidence-based insights for improving intersection safety. The findings support targeted interventions in roadway design, driver education, and the integration of advanced technologies such as cyclist detection systems and vehicle-to-vehicle communication to enhance cyclist protection
6
Driving economic value: Assessing the financial impact of dynamic message signs on freeways
Mousa Ahmad Abushattal, Fadi Alhomaidat, Husam Alsanat, Valerian Kwigizile, Sia Isaria Mwende
مقالة في مجلة علمية 2025
المجلةCivil Engineering Journal
تاريخ النشر2025/07/01
المؤلفونMousa Ahmad Abushattal, Fadi Alhomaidat, Husam Alsanat, Valerian Kwigizile, Sia Isaria Mwende
نوع المنشورمقالة في مجلة علمية
Dynamic Message Signs (DMSs) are an integral feature of any Intelligent Transportation System (ITS), providing drivers with real-time information such as travel time, incidents, routes, and weather conditions. This study aims to estimate the economic impacts associated with DMS use for route choice, weather advisories, and work zone management on freeways. Several freeway locations with varying levels of traffic congestion were selected to ensure a comprehensive evaluation under diverse conditions. Travel time savings and speed reductions were used as performance metrics to assess Benefit-Cost Ratios (BCRs) for each application. The findings show that DMSs yield substantial economic advantages across all use cases. For route guidance messages with a 35% diversion rate, the BCR was 1.032, indicating a cost-effective investment. Weather advisory messages recommending speed reduction achieved a notably higher BCR of 6.0, reflecting strong safety and financial benefits. Work zone applications using Portable Changeable Message Signs (PCMS) projected a BCR of 1.22. This study offers a data-driven justification for DMS deployment and contributes to the literature by focusing on financial performance, supporting strategic investment decisions beyond qualitative or operational assessments.
7
Towards safer mixed traffic: A deep learning approach to autonomous vehicle detection and driver awareness
ورقة بحثية في مؤتمر 2025
المجلة2025 IEEE International Conference on Electro Information Technology (eIT)
تاريخ النشر2025/05/29
المؤلفون
نوع المنشورورقة بحثية في مؤتمر
8
Factors associated with travel time accuracy of dynamic message signs for route choice
Mousa Abushattal, Fadi Alhomaidat
مقالة في مجلة علمية 2025
المجلة
تاريخ النشر2025/05/01
المؤلفونMousa Abushattal, Fadi Alhomaidat
نوع المنشورمقالة في مجلة علمية
Travel time is one of the most important pieces of information that the Dynamic Message Sign (DMS) provides to drivers. However, several variables, including traffic-related factors and DMS message characteristics, might impact the accuracy of the travel time when the DMS is used to display the travel time for alternate routes. Therefore, this study aims to look at the variables that affect the route choice’s displayed travel time accuracy as it relates to the individual driver. The accuracy of the travel time displayed on a DMS on I-75 in Saginaw, Michigan, was examined using logistic regression analysis. The results suggest that for effective traffic management for high traffic demand times (peak hour and day of the week), avoiding using travel time information displayed with other types of messages at the same time (phasing) and adapting a message update time between 2 to 3 min can improve the DMS travel time information accuracy. Practitioners and planners can use the findings to improve driver compliance with the DMS message that is being displayed.
عنوان الرسالة الطالب النوع / الدور الحالة
UTILIZING PHOSPHATE MINE WASTE ROCKS AS NATURAL AGGREGATE IN ASPHALT MIXTURE:A CASE STUDY FROM JORDAN ساجدة محمد سالم العصيفات ماجستير
مشرف رئيسي		 مكتملة
Enhancing Pedestrian Safety in Aqaba, Jordan with an Innovative Bollard Enhancing PedestSystem: A Statistical and Numerical Analysis Rahaf Zakaria ماجستير
مشرف رئيسي		 مكتملة
Developing a safety Performance Function for Multilane highways: A Case study of Amman’s Traffic Conditions, Aseel Alhmadeen ماجستير
مشرف مشارك		 مكتملة

معلومات إضافية

اليوم الوقت الموقع الفصل
مجال الاهتمام الوصف
Motorized and non-motorized Traffic Safety Traffic Simulation and operation Traffic enforcement Application of Intelligent Transportation System GIS application in Transportation Engineering
المجال الوصف
المساق الرمز المستوى الساعات
Transportation Engineering 0504321 بكالوريوس