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Evaluating the effectiveness of machine learning techniques in forecasting the severity of traffic accidents
Traffic accidents pose a significant public safety concern, leading to numerous injuries and
fatalities worldwide. Predicting the severity of these accidents is crucial for develo** …
fatalities worldwide. Predicting the severity of these accidents is crucial for develo** …
Facial feature-based drowsiness detection with multi-scale convolutional neural network
Recently, the upsurge in accidents is caused due to driver drowsiness arises due to lack of
sleep, fatigue and other health factors. The drowsiness leads to mortality, loss of properties …
sleep, fatigue and other health factors. The drowsiness leads to mortality, loss of properties …
Analysis of risk factors in road accidents using fuzzy ANP method
S Bathrinath, T Mahendiran, M Ravikumar… - Materials, design, and …, 2021 - Springer
The number of premature death due to road accidents (RA) in recent years has been on
vertical horizon. In connection with this, this paper intends to identify, evaluate, and analyze …
vertical horizon. In connection with this, this paper intends to identify, evaluate, and analyze …
Road accidents in India: Looking through the behavioural lens
N Goutam - 2023 - osf.io
Roads are meant to connect people and their lives together, also taking a toll over them. It is
apparent that deaths caused by road accidents are one of the leading causes of death …
apparent that deaths caused by road accidents are one of the leading causes of death …
Advanced Driver Consciousness Detection and Alert System using CNN
This work addresses the increasing risks of accidents arising from various unconscious
situations, including but not limited to driver drowsiness caused by sleep deprivation …
situations, including but not limited to driver drowsiness caused by sleep deprivation …
Improving accuracy in road accidents prediction by comparing support vector machine with Lasso regression
T Prakash, V Nagaraju - AIP Conference Proceedings, 2024 - pubs.aip.org
The primary purpose of this investigation is to compare and contrast the performance of two
machine learning algorithms, namely the Lasso regression Algorithm and the Support …
machine learning algorithms, namely the Lasso regression Algorithm and the Support …
296 Injury risks for different road users in Nepal: a secondary analysis of routinely collected crash data
S Bhatta, P Pathak, A Khadka, J Parkin, P Pilkington… - 2024 - injuryprevention.bmj.com
Background Road traffic injuries are the twelfth leading cause of mortality globally. Nepal,
one of the least developed countries in the world, has a rapidly rising rate of road traffic …
one of the least developed countries in the world, has a rapidly rising rate of road traffic …
Conceptual Framework for Accident Prone Hotspot Identification and Removal using Historical Data Analytics
Traffic management in a smart city is a significant challenge due to various causes, and
among the significant reasons is traffic congestion. Unexpected accidents occur due to …
among the significant reasons is traffic congestion. Unexpected accidents occur due to …
Anti-Sleep Glasses using AI and ML to Prevent Accidents.
SK AN, TS Keerthana… - … International Journal of …, 2024 - search.ebscohost.com
Abstract The" Anti-Sleep Glasses" uses artificial intelligence (AI) to solve the serious
problem of accidents caused by sleepiness. The system uses an ESP32 AI Cam board and …
problem of accidents caused by sleepiness. The system uses an ESP32 AI Cam board and …
[PDF][PDF] Accident severity in India
Among all the transportation services available, road transport is one of the most important
services available. It acts as a feeder for the other services. According to the Ministry of Road …
services available. It acts as a feeder for the other services. According to the Ministry of Road …