Tasneem Miqdady- Ph.D - Civil Engineering/Transportation (University of Granada)
- PostDoc Researcher at Universidad Politécnica de Madrid
Tasneem Miqdady
- Ph.D - Civil Engineering/Transportation (University of Granada)
- PostDoc Researcher at Universidad Politécnica de Madrid
Post-Doctoral researcher at Transport Research Centre TRANSyT-UPM
About
8
Publications
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Introduction
Dr. Tasneem Miqdady is M.Eng. in Civil Engineering/Transportation (2017), Jordan University of Science and Technology (Irbid, Jordan). She holds a Ph.D. in Transportation Engineering (2023) from the University of Granada. She is a Postdoctoral Researcher at the Universidad Politécnica de Madrid. Her current fields of interest include traffic safety, travel behavior, transport planning and management.
Current institution
Additional affiliations
March 2018 - January 2019
Luminus Technical University College
Position
- Lecturer
February 2015 - June 2017
April 2021 - July 2023
Education
January 2019 - July 2023
September 2014 - June 2017
September 2009 - February 2014
Publications
Publications (8)
Eco-driving is a key strategy for reducing energy consumption and emissions in electric vehicles (EVs) and internal combustion engine (ICE) vehicles. However, research gaps remain regarding its effectiveness across different driving environments, vehicle types, transmission systems, and contexts. This research evaluates eco-driving efficiency in ur...
Recently, the number of traffic safety studies involving connected and autonomous vehicles (CAVs) has been increasing. Due to the lack of information regarding the real behaviour of CAVs in mixed traffic flow, traffic simulation platforms are used to provide a reasonable approach for testing various scenarios and fleets. It is necessary to analyse...
Connected and Autonomous Vehicles (CAVs) are becoming a reality and are progressively penetrating the markets level by level. CAVs are a promising solution for traffic safety. However, robust studies are needed to explore and assess the expected behavior. This study attempts to evaluate traffic safety resulting from a near-real introduction of CAVs...
This study aims to estimate the severity of conflicts that may arise from the introduction of connected and automated vehicles (CAVs) by examining the vehicle paths generated by microsimulations of mixed fleets of human-driven vehicles and CAVs with different levels of automation (L1-L4 vehicles). The study assesses the severity of conflicts using...
Connected and Autonomous Vehicles (CAV) is the developing summit of the integration between artificial intelligence (AI), robotics, automotive design and information technologies. Many researchers are investigating their effects on traffic safety. This study tries to quantify the volume of incidents when sharing the road human-driven vehicles and f...
The lack of robust studies carried out on urban roads in developing countries makes it difficult to enhance traffic safety, ensuring sustainable roads and cities. This study analyzes the contribution of a number of explanatory variables behind crashes involving injuries on arterial roads in Irbid (Jordan). Five binary logistic regression models wer...
The purpose of the current study is to predict accident hot spots in different locations using Geographic Information System (GIS) and fuzzy logic. The data used contained accident types and occurrence time. Fatality and injury were also studied with spatial-temporal analysis. Moreover, accident hot spots were predicted performing Weighted Overlay...
