Results 1 to 10 of about 81,532 (194)
Crash severity analysis of vulnerable road users using machine learning. [PDF]
PLoS ONE, 2021 Road crash fatality is a universal problem of the transportation system. A massive death toll caused annually due to road crash incidents, and among them, vulnerable road users (VRU) are endangered with high crash severity.
Md Mostafizur Rahman Komol +5 more
doaj +3 more sources
Spatial pattern identification and crash severity analysis of road traffic crash hot spots in Ohio [PDF]
Heliyon, 2023 Safety experts and transportation departments are focused on reducing road accidents and their societal and economic effects. The most crucial step in establishing a successful road safety practice is identifying dangerous highway zones through the study
Md Saiful Alam, Nusrat Jahan Tabassum
doaj +2 more sources
Crash severity analysis of nighttime and daytime highway work zone crashes. [PDF]
PLoS One, 2019 Egypt's National Road Project is a large infrastructure project which presently aims to upgrade 2500 kilometers of road networks as well as construct 4000 kilometers of new roads to meet today's need. This leads to an increase in the number of work zones on highways and therefore a rise in hazardous traffic conditions. This is why highways agencies are
Zhang K, Hassan M.
europepmc +5 more sources
Neighborhood Influences on Vehicle-Pedestrian Crash Severity. [PDF]
J Urban Health, 2017 Socioeconomic factors are known to be contributing factors for vehicle-pedestrian crashes. Although several studies have examined the socioeconomic factors related to the location of the crashes, limited studies have considered the socioeconomic factors of the neighborhood where the road users live in vehicle-pedestrian crash modelling.
Toran Pour A +3 more
europepmc +4 more sources
Crash severity analysis: A data-enhanced double layer stacking model using semantic understanding [PDF]
HeliyonThe crash severity analysis is of significant importance in traffic crash prevention and emergency resource allocation. A range of innovations offers potential traffic crash severity prediction models to improve road safety.
Di Yang, Tao Dong, Peng Wang
doaj +2 more sources
A comparative study on machine learning based algorithms for prediction of motorcycle crash severity. [PDF]
PLoS ONE, 2019 Motorcycle crash severity is under-researched in Ghana. Thus, the probable risk factors and association between these factors and motorcycle crash severity outcomes is not known.
Lukuman Wahab, Haobin Jiang
doaj +2 more sources
Crash Severity Evaluation for Unsignalized Intersection Using Conflict Data [PDF]
International Journal of Computational Intelligence Systems, 2011 This paper evaluates crash severity of unsignalized intersection using Conflict Index. Crash and Conflict Severity Model is developed to show the relationship between Crash Index and Conflict Index.
Rui Li +5 more
doaj +1 more source
Journal of Advanced Transportation, 2021 To analyze the risk factors influencing the crash injury severity in rural-urban fringes, crash data in rural-urban fringes were collected from Harbin, China.
Biao Wu +4 more
doaj +1 more source
IATSS Research, 2023 Road traffic crashes have increased over the years leading to greater injury severity among children who are mostly vehicle occupants in high-income countries. This adversely affects the healthy development of children and might lead to death.
Muhammad Uba Abdulazeez +2 more
doaj +1 more source
Urban Intersections and Traffic Safety in the City of San Antonio [PDF]
MATEC Web of Conferences, 2019 Intersections are high-risk locations on roadways and often experience high incidence of crashes. Better understanding of the factors contributing to crashes and deaths at intersections is crucial.
Adegbite Qasim +3 more
doaj +1 more source