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Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecasting
Introduction: COVID-19 has disrupted daily life and societal flow globally since December
2019; it introduced measures such as lockdown and suspension of all non-essential …
2019; it introduced measures such as lockdown and suspension of all non-essential …
Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning
While driver distraction remains an issue in modernized societies, technological
advancements in data collection, storage and analysis provide the means for deeper …
advancements in data collection, storage and analysis provide the means for deeper …
[HTML][HTML] Interpretable dynamic ensemble selection approach for the prediction of road traffic injury severity: a case study of Pakistan's national highway N-5
Road traffic accidents are among the top ten major causes of fatalities in the world, taking
millions of lives annually. Machine-learning ensemble classifiers have been frequently used …
millions of lives annually. Machine-learning ensemble classifiers have been frequently used …
Predicting Fatality in Road Traffic Accidents: A Review on Techniques and Influential Factors
Road traffic accidents (RTAs) claim approximately 1.3 million lives globally each year,
prompting the United Nations to target a 50% reduction in fatalities and injuries by 2030 …
prompting the United Nations to target a 50% reduction in fatalities and injuries by 2030 …
Potential application of artificial neural network (ANN) analysis method on Malaysian road crash data
By allowing the movement of commodities and people, road transportation benefits both
nations and people. This provides improved access to work opportunities, educational …
nations and people. This provides improved access to work opportunities, educational …
Comparative analysis on the prediction of road accident severity using machine learning algorithms
The present expansion ratio of the human population is a major concern, and it is ever
growing. In peak hours, traffic congestion is high and may lead to road accidents. Most of the …
growing. In peak hours, traffic congestion is high and may lead to road accidents. Most of the …
[PDF][PDF] Enhancing Element Game Classification: Effective Techniques for Handling Imbalanced Classes.
One strategy for enhancing the promotion of marketing content involves the incorporation of
gamification techniques. Existing research that examines the utilization of gamification …
gamification techniques. Existing research that examines the utilization of gamification …
[HTML][HTML] Exploring factors influencing injury severity of vehicle at-fault accidents: a comparative analysis of passenger and freight vehicles
J Wang, H Lu, Z Sun, T Wang - International journal of environmental …, 2020 - mdpi.com
The objective of this study is to find factors influencing the injury severity of vehicle at-fault
accidents in Shenyang (China), and discuss the commonalities and differences between …
accidents in Shenyang (China), and discuss the commonalities and differences between …
[PDF][PDF] Comparative performance study of HC-12, nRF24L01, and XBee for vehicular communication
In recent times, the volume of traffic congestion has been rapidly growing on roads. These
days the necessity of having safe transportation and journey is essential. Thus, vehicle …
days the necessity of having safe transportation and journey is essential. Thus, vehicle …
An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network
S Bharathi, P Durgadevi - … on Intelligent Cyber Physical Systems and …, 2022 - Springer
A vehicular ad hoc network (VANET) is a wireless network that connects a group of moving
or stationary vehicles together. VANETs were primarily used to provide safety and comfort to …
or stationary vehicles together. VANETs were primarily used to provide safety and comfort to …