[HTML][HTML] GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning
S Mohammed, AH Alkhereibi, A Abulibdeh… - Transportation research …, 2023 - Elsevier
Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts
to reduce them and promote sustainable transport systems. This study aimed to investigate …
to reduce them and promote sustainable transport systems. This study aimed to investigate …
Prediction of the synergistic effect of antimicrobial peptides and antimicrobial agents via supervised machine learning
Background Infectious diseases not only cause severe health problems but also burden the
healthcare system. Therefore, the effective treatment of those diseases is crucial. Both …
healthcare system. Therefore, the effective treatment of those diseases is crucial. Both …
Pedestrian road traffic accidents in metropolitan areas: GIS-based prediction modelling of cases in Mashhad, Iran
This study utilised multi-year data from 5354 incidents to predict pedestrian–road traffic
accidents (PTAs) based on twelve socioeconomic and built-environment factors. The …
accidents (PTAs) based on twelve socioeconomic and built-environment factors. The …
Utilizing different machine learning techniques to examine speeding violations
AH Alomari, BW Al-Mistarehi, TK Alnaasan… - Applied Sciences, 2023 - mdpi.com
This study investigated the potential impacts on speeding violations in the United States,
including the top ten states in terms of crashes: California, Florida, Georgia, Illinois …
including the top ten states in terms of crashes: California, Florida, Georgia, Illinois …
Leveraging positive-unlabeled learning for enhanced black spot accident identification on Greek road networks
Identifying accidents in road black spots is crucial for improving road safety. Traditional
methodologies, although insightful, often struggle with the complexities of imbalanced …
methodologies, although insightful, often struggle with the complexities of imbalanced …
Prediction of road traffic accidents on a road in Portugal: a multidisciplinary approach using artificial intelligence, statistics, and geographic information systems
Road Traffic Accidents (RTA) cause human losses and irreparable physical and
psychological damage to many of the victims. They also involve a very relevant economic …
psychological damage to many of the victims. They also involve a very relevant economic …
[HTML][HTML] Factors affecting crash severity in Roundabouts: A comprehensive analysis in the Jordanian context
Roundabouts are widely embraced for their perceived safety advantages over other types of
unsignalized intersections. However, there has been an observed increase in crash rates at …
unsignalized intersections. However, there has been an observed increase in crash rates at …
[HTML][HTML] Machine Learning for Predictions of Road Traffic Accidents and Spatial Network Analysis for Safe Routing on Accident and Congestion-Prone Road Networks
Y Berhanu, D Schröder, BT Wodajo, E Alemayehu - Results in Engineering, 2024 - Elsevier
In the modern-day landscape, traffic accidents and road congestion emerge as pressing
global challenges in urban planning and transportation management. In large cities and …
global challenges in urban planning and transportation management. In large cities and …
[HTML][HTML] Accident severity prediction modeling for road safety using random forest algorithm: an analysis of Indian highways
Background: Road accidents claim around 1.35 million lives annually, with countries like
India facing a significant impact. In 2019, India reported 449,002 road accidents, causing …
India facing a significant impact. In 2019, India reported 449,002 road accidents, causing …
Investigating the factors affecting speeding violations in Jordan using phone camera, radar, and machine learning
Traffic accidents are considered the leading cause of death for the age group (5–29). They
cause approximately 1.3 million deaths every year. Different factors cause traffic accidents; …
cause approximately 1.3 million deaths every year. Different factors cause traffic accidents; …