5G-enabled V2X communications for vulnerable road users safety applications: a review
Abstract Intelligent Transportation System (ITS) is continuously evolving alongside
communication technologies and autonomous driving, giving way to new applications and …
communication technologies and autonomous driving, giving way to new applications and …
Machine learning for road traffic accident improvement and environmental resource management in the transportation sector
Despite the measures put in place in different countries, road traffic fatalities are still
considered one of the leading causes of death worldwide. Thus, the reduction of traffic …
considered one of the leading causes of death worldwide. Thus, the reduction of traffic …
[HTML][HTML] Injury severity prediction of cyclist crashes using random forests and random parameters logit models
A Scarano, MR Riccardi, F Mauriello… - Accident Analysis & …, 2023 - Elsevier
Cycling provides numerous benefits to individuals and to society but the burden of road
traffic injuries and fatalities is disproportionately sustained by cyclists. Without awareness of …
traffic injuries and fatalities is disproportionately sustained by cyclists. Without awareness of …
[HTML][HTML] Develo** new hybrid grey wolf optimization-based artificial neural network for predicting road crash severity
With more cars on the road and an increasing travel rate, one of the main issues in
transportation engineering is how to make roads safe. The evaluation of the level of road …
transportation engineering is how to make roads safe. The evaluation of the level of road …
Deep RNN based prediction of driver's intended movements at intersection using cooperative awareness messages
This paper presents an early prediction framework to classify drivers' intended intersection
movements in a connected vehicle environment. Intersections are considered accident …
movements in a connected vehicle environment. Intersections are considered accident …
Using machine learning on v2x communications data for vru collision prediction
Intelligent Transportation Systems (ITSs) are systems that aim to provide innovative services
for road users in order to improve traffic efficiency, mobility and safety. This aspect of safety …
for road users in order to improve traffic efficiency, mobility and safety. This aspect of safety …
Evaluating the effect of drunk driving on fatal injuries among vulnerable road users in Taiwan: a population-based study
Background Most studies have focused on injuries sustained by intoxicated drivers
themselves, but few have examined the effect of drunk driving on injury outcomes among …
themselves, but few have examined the effect of drunk driving on injury outcomes among …
Integrating machine learning into path analysis for quantifying behavioral pathways in bicycle-motor vehicle crashes
The behavioral pathways in traffic crashes describe the chained linkages among
contributing factors, pre-crash road user behaviors, and crash outcomes. Bicyclists are more …
contributing factors, pre-crash road user behaviors, and crash outcomes. Bicyclists are more …
Investigating the effect of road condition and vacation on crash severity using machine learning algorithms
Investigating the contributing factors to traffic crash severity is a demanding topic in research
focusing on traffic safety and policies. This research investigates the impact of 16 roadway …
focusing on traffic safety and policies. This research investigates the impact of 16 roadway …
[PDF][PDF] A sophisticated Drowsiness Detection System via Deep Transfer Learning for real time scenarios
A sophisticated Drowsiness Detection System via Deep Transfer Learning for real time
scenarios Page 1 AIMS Mathematics, 9(2): 3211–3234. DOI: 10.3934/math.2024156 …
scenarios Page 1 AIMS Mathematics, 9(2): 3211–3234. DOI: 10.3934/math.2024156 …