Mohamed Hussein

Mohamed Hussein
McMaster University | McMaster · Department of Civil Engineering

PhD

About

27
Publications
4,769
Reads
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328
Citations
Citations since 2016
19 Research Items
307 Citations
2016201720182019202020212022020406080
2016201720182019202020212022020406080
2016201720182019202020212022020406080
2016201720182019202020212022020406080
Additional affiliations
July 2018 - August 2018
McMaster University
Position
  • Professor (Assistant)

Publications

Publications (27)
Article
Posted speed limits have a critical impact on highway safety and mobility. Increasing the posted speed limit may increase the risk of collisions and reduce the overall safety level. This study utilized a reliability-based framework to assess the safety impacts of increasing the speed limits on highways. Four highway segments were considered, includ...
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Full-text available
The goal of this study is to provide an overview of previous research that investigated pedestrian violation behaviour, with a focus on identifying the contributing factors of such behaviour, its impact on pedestrian safety, the mitigation strategies, the limitations of current studies, and the future research directions. To that end, the Latent Di...
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Full-text available
The objective of this study is to understand the impact of a variety of factors on the frequency and severity of pedestrian-vehicle collisions that involve pedestrian spatial violations at mid-blocks. To that end, the historical collision records of the City of Hamilton between 2010 and 2017 were obtained, and collisions that had occurred at mid-bl...
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Sustainable development systems (SDSs) contribute greatly to the global efforts toward climate change mitigation. The strategic planning and prioritization of various SDSs require multi-sectoral integrated assessment to ensure sustainability goals are effectively met. This research establishes a systematic integrated framework to assess selected st...
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With the increasing advancements in autonomous vehicle (AV) technologies, the forecasts of AV market shares seem to follow an ever-growing trend. This leads to the inherent need for proactive safety evaluations of AV impacts on other road users. To that end, this study proposes a modeling framework for the proactive assessment of pedestrian safety...
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This study aims at developing a solid understanding of the contributing factors to pedestrian fatal and injury collisions at highway-railway grade crossings (HRGC), along with the impact of different warning devices that are commonly used at HRGCs. The study utilized integrated Machine Learning and Bayesian models to analyze the United States HRGC...
Article
The main goal of this study is to investigate the impact of a variety of factors on the frequency and the severity of pedestrian-vehicle collisions that involve pedestrian violations. To that end, the collision dataset of the City of Hamilton between 2010 and 2017 was reviewed to filter out pedestrian collisions that involved pedestrian violations....
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Roundabout design has been evolving to include versatile types that target specific characteristics of each considered location. They started addressing maneuverability issues and directional splits, among other factors. Therefore, research is required to investigate the functionality and performance gains associated with each new design element. T...
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Many road authorities in Canada have been contemplating the use of wider longitudinal pavement markings (LPMs) to enhance road safety and driver comfort. However, conclusive evidence on the safety impacts of wider LPMs has not been available. To address this gap in the literature, this study was conducted to investigate the safety impacts of wider...
Article
This study investigates the microscopic interaction behaviour between cyclists and pedestrians in shared-space environments. Video data was collected at the Robson Square shared space in downtown Vancouver, British Columbia. Trajectories of cyclists and pedestrians involved in 208 interactions (416 Trajectories) were extracted using computer vision...
Article
This study validates a recently developed agent-based pedestrian micro-simulation model in a crowded walking environment. The model is applied to simulate pedestrian movements at a major street in the downtown Vancouver area. The street was closed for traffic to allow people attending a social event to leave the area safely. The calibration of mode...
Article
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 techniques were used to detect different road users and extract their trajectories from video scenes. The extracte...
Article
The objective of this study is to validate a recently developed agent-based pedestrian simulation model, using data collected at the pedestrian walkway of Brooklyn Bridge. Video data were collected at the walkway and the trajectories of 294 pedestrians were extracted using computer vision. A genetic algorithm was applied to identify the optimum mod...
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This paper describes the development of a pedestrian microscopic simulation model, the calibration of its parameters and the validation of model results. The model utilizes the agent based modeling approach as it effectively accounts for the pedestrian intelligence and their ability to make logical decisions. The model focuses on producing accurate...
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Recently, an agent based pedestrian simulation model was developed at the University of British Columbia to model detailed pedestrian interactions. The model was originally calibrated and validated using video data, collected at a signalized intersection in the city of Vancouver. However, it is important to investigate the applicability of the mode...
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Recently, reliability analysis has been advocated as an effective approach to account for uncertainty in the geometric design process and to evaluate the risk associated with a particular design. In this approach, a risk measure (e.g. probability of noncompliance) is calculated to represent the probability that a specific design would not meet stan...
Article
Automated computer vision video analysis techniques were used to analyze video data during the operation of New York City's Summer Streets Program at a major signalized intersection. The main objectives of this study were to diagnose pedestrian and cyclist safety issues during the shared space operation and to demonstrate the feasibility of the aut...
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The goal of this paper is to establish a pedestrian model that is capable of simulating pedestrian movement at the microscopic level under normal conditions. Such a model would be useful in studying pedestrian-related transportation issues that require predicting accurate trajectories of pedestrians. The model utilizes the agent based modeling appr...
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Full-text available
A better understanding of pedestrian behavior is needed to enhance existing pedestrian simulation models. A study was conducted on microscopic pedestrian behavior during several interactions, with pedestrian walking speed and gait parameters (step frequency and length) as variables. Pedestrian trajectories at a signalized intersection in Vancouver,...
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Full-text available
Automated computer vision techniques were used to analyze 2 h of video data collected at a major signalized intersection in New York City. The main objectives of this study were to diagnose pedestrian safety issues and identify contributing factors at the intersection and to demonstrate the feasibility of the automatic extraction of pedestrian data...
Article
Existing geometric design guides provide deterministic design criteria for highway elements that ignore the uncertainty associated with many design parameters. Reliability analysis has been advocated as an approach to account for this uncertainty and to evaluate the risk associated with a particular design feature. This paper discusses one importan...
Article
The reliance on aggregate historical collision data as a sole technique in road safety analysis was proved challenging in the quest to better understand, predict, and improve road safety conditions. Therefore, surrogate safety measures such as the traffic conflict technique have been promoted as an alternative or complementary approach to assess an...
Article
The potential for using computer vision techniques to solve several shortcomings associated with traditional road safety and behavior analysis is demonstrated. Surrogate data such as traffic conflicts provide invaluable information that can be used to understand collision-contributing factors and the collision failure mechanism better. Recent advan...

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