Results 131 to 140 of about 1,641,760 (378)
Traffic Accidents Classification and Injury Severity Prediction
Traffic accidents constitutes the first cause of death and injury in many developed countries. However, traffic accidents information and data provided by public organisms can be exploited to classify these accidents according to their type and severity,
Laura Garcia Cuenca+3 more
semanticscholar +1 more source
ABSTRACT Purpose Anterior cruciate ligament injury increases the risk of knee osteoarthritis, possibly via early onset of knee pain and changes in musculoskeletal function. This study compared knee muscle strength and movement biomechanics during walking and forward lunge between individuals with and without knee pain after anterior cruciate ligament ...
Elisabeth Bandak+10 more
wiley +1 more source
Estimation of the traffic accidents costs in Serbia by using dominant costs model
This paper presents estimation of the traffic accident costs in Serbia, based on original dominant costs model. Dominant costs model uses human capital approach and this model is developed for simple and quick calculation of the traffic accidents costs ...
Boris Antić+3 more
doaj +1 more source
Severity Prediction of Traffic Accidents with Recurrent Neural Networks
In this paper, a deep learning model using a Recurrent Neural Network (RNN) was developed and employed to predict the injury severity of traffic accidents based on 1130 accident records that have occurred on the North-South Expressway (NSE), Malaysia ...
M. I. Sameen, B. Pradhan
semanticscholar +1 more source
Complete Streets in Venice, California [PDF]
In response to the growing pattern of fatal traffic accidents involving pedestrians and bicyclists in the City of Los Angeles, a new initiative has been started to reduce these accidents by improving current designs and adding signage and striping to add
Chavez, Fabian, Cho, Jordan
core +1 more source
Jute‐based flame‐retardant textiles are eco‐friendly materials used in home textiles, firefighting gear, and insulation. Developed through coating, exhaustion, and chemical treatments, they offer safety, scalability, and versatility. Challenges include cost, durability, and environmental impact.
Md. Nazif Hasan Chowdhury+4 more
wiley +1 more source
Predicting road traffic accidents using artificial neural network models
As of 2015, Switzerland’s road network was among the safest when compared to other European countries.
Borja García de Soto+3 more
semanticscholar +1 more source
Traffic accidents are the leading cause of hospitalization in adolescence, with the 18–24-year-old age group accounting for 23% of deaths by traffic accidents. Recurrence rate is also high.
L. Gicquel+5 more
semanticscholar +1 more source
The relationship between traffic accidents and economic growth in China [PDF]
Using province-level panel data in China, we examine the relationship between traffic accidents and economic growth. A semiparametric partial linear model is used to account for potential nonlinearity in the relationship.
Kazuyuki Iwata
core
Traffic Accident Risk Analysis by Knowledge, the Use of Traffic Lane, and Speed [PDF]
Traffic accidents are a health problem in both developed and developing countries including Indonesia. Number of traffic accidents each year has increased and traffic accidents in Indonesia is considered by WHO as the third biggest killer after coronary ...
Hendrati, L. Y. (Lucia)+1 more
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