Tarek Sayed
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View article: Microscopic Behavioral and Psychological Analysis of Road User Interactions in Shared Spaces
Microscopic Behavioral and Psychological Analysis of Road User Interactions in Shared Spaces Open
The concept of shared space is proposed to improve the safety and health of vulnerable road users (VRUs) by promoting walking and cycling. However, despite the documented benefits of shared spaces, concerns were raised about the frequency …
View article: Impact of jaywalking on pedestrian interaction behavior: A multiagent Markov Game-based analysis
Impact of jaywalking on pedestrian interaction behavior: A multiagent Markov Game-based analysis Open
Jaywalking behavior represents a major safety concern especially in traffic environments with intense pedestrian activity. Despite the influence of this behavior on crash risk given that drivers have unexpected interactions with pedestrian…
View article: Bayesian hierarchical non-stationary hybrid modeling for threshold estimation in peak over threshold approach
Bayesian hierarchical non-stationary hybrid modeling for threshold estimation in peak over threshold approach Open
Extreme value theory (EVT) has been utilized to estimate crash risk from traffic conflicts with the peak over threshold approach. However, it's challenging to determine a suitable threshold to distinguish extreme conflicts in an objective …
View article: Cyclist safety assessment using autonomous vehicles
Cyclist safety assessment using autonomous vehicles Open
Proactive and holistic safety management approaches should consider multi-modal crash risk. Cyclist crash risk should be prioritized given the high-severity of vehicle-cyclist crashes. Cyclist crash risk is difficult to quantify given the …
View article: Distracted Walking: Does it impact pedestrian-vehicle interaction behavior?
Distracted Walking: Does it impact pedestrian-vehicle interaction behavior? Open
Several studies have developed pedestrian-vehicle interaction models. However, these studies failed to consider pedestrian distraction, which considerably influences the safety of these interactions. Utilizing data from two intersections i…
View article: Enforcing Traffic Safety: A Deep Learning Approach for Detecting Motorcyclists’ Helmet Violations Using YOLOv8 and Deep Convolutional Generative Adversarial Network-Generated Images
Enforcing Traffic Safety: A Deep Learning Approach for Detecting Motorcyclists’ Helmet Violations Using YOLOv8 and Deep Convolutional Generative Adversarial Network-Generated Images Open
In this study, we introduce an innovative methodology for the detection of helmet usage violations among motorcyclists, integrating the YOLOv8 object detection algorithm with deep convolutional generative adversarial networks (DCGANs). The…
View article: Real-time combined safety-mobility assessment using self-driving vehicles collected data
Real-time combined safety-mobility assessment using self-driving vehicles collected data Open
The study presents a real-time safety and mobility assessment approach using data generated by autonomous vehicles (AVs). The proposed safety assessment method uses Bayesian hierarchical spatial random parameter extreme value model (BHSRP)…
View article: Ultrasound Evaluation of Cesarean Uterine Scar Following Single Compared to Double Layer Closure
Ultrasound Evaluation of Cesarean Uterine Scar Following Single Compared to Double Layer Closure Open
Objective: To compare residual myometrial thickness (RMT) and the size of the Cesarean scar defect after single compared to double-layer uterine closure following elective Cesarean section by Transvaginal ultrasound and saline infusion son…
View article: Modeling Pedestrian Temporal Violations at Signalized Crosswalks: A Random Intercept Parametric Survival Model
Modeling Pedestrian Temporal Violations at Signalized Crosswalks: A Random Intercept Parametric Survival Model Open
This study aims to model pedestrian temporal violation behavior at signalized crosswalks. Video data of pedestrian crossing behavior were collected from three locations in China and were used to investigate the effect of several factors on…
View article: Real-Time Crash-Risk Optimization at Signalized Intersections
Real-Time Crash-Risk Optimization at Signalized Intersections Open
Over the past few decades, numerous adaptive traffic signal control (ATSC) algorithms have been proposed to alleviate traffic congestion and optimize traffic mobility using real-time traffic data, such as data from connected vehicles (CVs)…
View article: Water-Saving from Rehabilitation of Irrigation Canals Case Study: El-Sont Canal, Assiut Governorate
Water-Saving from Rehabilitation of Irrigation Canals Case Study: El-Sont Canal, Assiut Governorate Open
In light of the national project for rehabilitation and the lining of the exposed irrigation canals which is currently under implementation all over Egypt, a field study is introduced to assess the technical, and environmental expected imp…
View article: Using Bayesian Tobit Models to Understand the Impact of Mobile Automated Enforcement on Collision and Crime Rates
Using Bayesian Tobit Models to Understand the Impact of Mobile Automated Enforcement on Collision and Crime Rates Open
The Data Driven Approaches to Crime and Traffic Safety approach identifies opportunities where a single enforcement deployment can achieve multiple objectives: reduce collision and crime rates. Previous research focused on modeling both ev…
View article: Real-Time Safety Optimization of Connected Vehicle Trajectories Using Reinforcement Learning
Real-Time Safety Optimization of Connected Vehicle Trajectories Using Reinforcement Learning Open
Speed advisories are used on highways to inform vehicles of upcoming changes in traffic conditions and apply a variable speed limit to reduce traffic conflicts and delays. This study applies a similar concept to intersections with respect …
View article: Applying Machine Learning and Statistical Approaches for Travel Time Estimation in Partial Network Coverage
Applying Machine Learning and Statistical Approaches for Travel Time Estimation in Partial Network Coverage Open
The objective of this study is to estimate the real time travel times on urban networks that are partially covered by moving sensors. The study proposes two machine learning approaches; the random forest (RF) model and the multi-layer feed…
View article: An experimental study of branching flow in open channels
An experimental study of branching flow in open channels Open
Branching channel flow describes any side water withdrawals from rivers or main channels. Branching channels have widespread application in many practical projects, such as irrigation and drainage network systems, water and waste-water tre…
View article: Road users’ behavior and safety analysis of pedestrian–bike shared space: case study of Robson Street in Vancouver
Road users’ behavior and safety analysis of pedestrian–bike shared space: case study of Robson Street in Vancouver Open
This paper investigates the behavior and safety of road users at the pedestrian–bike shared space of Robson Street in Vancouver. The analysis was conducted using video data, collected during the summer of 2016. Automated video analysis tec…
View article: Capacity-building in clinical skills of rehabilitation workforce in low- and middle-income countries
Capacity-building in clinical skills of rehabilitation workforce in low- and middle-income countries Open
The core skills identified reflect general rehabilitation practice and a task-shifting approach, to address shortages of health workers in low-and middle-income countries.
View article: Macro-spatial approach for evaluating the impact of socio-economics, land use, built environment, and road facility on pedestrian safety
Macro-spatial approach for evaluating the impact of socio-economics, land use, built environment, and road facility on pedestrian safety Open
With the increasing demand for sustainability, walking is being encouraged as a main active mode of transportation. However, pedestrians are vulnerable to severe injuries when involved in crashes, which can discourage road users from walki…
View article: Reliability-Based Analysis of Sight Distance Modelling for Traffic Safety
Reliability-Based Analysis of Sight Distance Modelling for Traffic Safety Open
Sight distance is of the utmost importance for traffic safety. The consideration of three-dimensional (3D) available sight distance (ASD) in geometric design has been supported by several researchers. However, existing ASD estimation metho…
View article: World Health Organisation Global Disability Action Plan 2014–2021: Challenges and perspectives for physical medicine and rehabilitation in Pakistan
World Health Organisation Global Disability Action Plan 2014–2021: Challenges and perspectives for physical medicine and rehabilitation in Pakistan Open
The barriers to implementing the GDAP identified here highlight the emerging priorities and challenges in the development of rehabilitation medicine and GDAP implementation in a developing country. The GDAP summary actions were useful plan…