Browsing Traffic Safety by Publisher "Elsevier"
Now showing items 1-20 of 66
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Advancing sustainability in LNG-Powered electricity generation: A comprehensive life cycle sustainability assessment
( Elsevier , 2025 , Article)Meeting the rising global energy demand necessitates efficient and sustainable electricity generation, with Liquefied Natural Gas (LNG) emerging as a cleaner alternative to traditional fossil fuels. In 2020, the United ... -
An assessment of Qatari school students' perspective towards using sustainable modes of transport to school
( Elsevier , 2023 , Article)Being a car dependent country traditionally, private cars are widely used for various trip purposes in State of Qatar including school trips. This paper assesses the factors affecting sustainable mode choices, walking or ... -
Analysis of Vehicle Breakdown Conditions of Motorcycle Food Delivery Riders with Demographics and Work Characteristics
( Elsevier , 2025 , Conference)Motorcycle food delivery riders (MFDRs) in Qatar often maximize their income by completing more rides and disregarding regular maintenance of vehicles. This could result in motorcycle breakdowns that could affect the safety ... -
ANN-Based traffic volume prediction models in response to COVID-19 imposed measures
( Elsevier , 2022 , Article)Many countries around the globe have imposed several response measures to suppress the rapid spread of the COVID-19 pandemic since the beginning of 2020. These measures have impacted routine daily activities, along with ... -
Anticipating the impacts of mega events on host-country agri-food supply chains: a synthesis based on a simulation of the World Cup 2022 in Qatar
( Elsevier , 2025 , Conference)Agri-food supply chains are likely to be disrupted during mega events. In order to prevent food waste and financial losses, it is crucial to respond and recover quickly from these disruptions. In fact, hosting such events ... -
Application of Deep Reinforcement Learning in Training Autonomous Vehicles: A bibliometric analysis
( Elsevier , 2025 , Conference)Deep Reinforcement Learning (DRL), a subset of machine learning, combines reinforcement learning with deep learning by using deep neural networks as function. This study assesses the research undertaken for advancement of ... -
Application of Unsupervised Machine Learning Classification for the Analysis of Driver Behavior in Work Zones in the State of Qatar
( Elsevier , 2022 , Article)Work zone areas are commonly known as crash-prone areas. Thus, they usually receive high priority by road operators as drivers and workers have higher chances of being involved in road crashes. The paper aims to investigate ... -
Assessing an automated people mover system in Qatar through traffic microsimulation
( Elsevier , 2025 , Conference)Automated People Mover bus systems are considered a key in improving a city's transport system performance, as they can pool several passengers together, resulting in few cars on the roads. Such systems are expected to ... -
Assessing Preferences and Feasibility of Multi-Seat Child Restraint Systems (CRS) for Multi-Child Households in Qatar
( Elsevier , 2025 , Conference)Child Restraint Systems (CRSs) are essential for child passenger safety, yet global adoption rates remain critically low, with usage often falling below 20% in many regions due to socioeconomic and cultural barriers. Larger ... -
Building resilience in the infant formula milk supply chain
( Elsevier , 2024 , Article)In recent years, Infant Formula Milk (IFM), a vital source of nutrition for infants lacking breast milk in their first two years, has been plagued by diverse and severe global supply chain disruptions. These challenges ... -
Can automated driving prevent crashes with distracted Pedestrians? An exploration of motion planning at unsignalized Mid-block crosswalks
( Elsevier , 2022 , Article)Pedestrian distraction may provoke severe difficulties in automated vehicle (AV) control, which may significantly affect the safety performance of AVs, especially at unsignalized mid-block crosswalks (UMCs). However, there ... -
Case studies on COVID-19 and environment
( Elsevier , 2021 , Book chapter)Coronavirus drastically changes people's travel behavior all over the world. This study aims to investigate the effect of people's adaptive travel behavior on greenhouse gas (GHG) emission in south Asian countries. We ... -
Corrigendum to “Effect of Qatar-based law amendment on pedestrians’ behavioral intentions: A PLS-SEM based analysis” [Transport. Res. F: Psychol. Behav., 108 (2025) 107–135/3052]
( Elsevier , 2025 , Article)The authors regret <Open Access funding is provided by the Qatar National Library.> We intend to add this sentence to the acknowledgement section. The acknowledgement should be: This study was made possible by a UREP ... -
Defensive or competitive Autonomous Vehicles: Which one interacts safely and efficiently with pedestrians?
( Elsevier , 2022 , Article)The emergence of Autonomous Vehicles (AVs) could provoke unexpected challenges in urban traffic environments. One such crucial challenge is the conflicts between pedestrians and AVs, particularly on unsignalized mid-block ... -
Delay or travel time information? The impact of advanced traveler information systems on drivers’ behavior before freeway work zones
( Elsevier , 2022 , Article)Peak travel times contribute to congestion formation at freeway work zones. Advanced Traveler Information Systems (ATIS) can inform drivers in real-time about the delays and travel times en-route and can provide information ... -
Driving against the clock: Investigating the impacts of time pressure on taxi and non-professional drivers’ safety and compliance
( Elsevier , 2025 , Article)Drivers often encounter time pressure, which can lead to riskier driving habits, decreased safety margins, and a higher chance of accidents. Given that taxi drivers frequently experience these conditions, this study examines ... -
Dynamic travel information strategies in advance traveler information systems and their effect on route choices along highways
( Elsevier , 2020 , Article)Advance Traveler Information Systems (ATIS) inform drivers about traffic incidences and expected travel times/ delays en-route. An online computer study was conducted in Qatar to investigate drivers' willingness ... -
Effect of ADHD traits in young drivers on self-reported deviant driving behaviours: An exploratory study in the Arab gulf region
( Elsevier , 2020 , Article)IntroductionAttention Deficit Hyperactivity Disorder (ADHD) can be defined in two key traits (inattention and hyperactivity-impulsivity), which can effect day-to-day capabilities such as driving performance. MethodsIn this ... -
Effect of Qatar-based law amendment on pedestrians’ behavioral intentions: A PLS-SEM based analysis
( Elsevier , 2025 , Article)Pedestrian violations are among the biggest concerns for administration as they contribute to increased frequency and severity of pedestrian-related crashes. Typically for ensuring pedestrian safety, law enforcement measures ... -
Empirical analysis of car-following behavior: Impacts of driver demographics, leading vehicle types, and speed limits on driver behavior and safety
( Elsevier , 2025 , Article)Car-following behavior is the most fundamental and common driving behavior and is crucial for road safety and traffic efficiency. Traffic flow dynamics are greatly affected by this behavior, and driver-related factors in ...
