A review of the effect of traffic and weather characteristics on road safety

A Theofilatos, G Yannis - Accident Analysis & Prevention, 2014 - Elsevier
Taking into consideration the increasing availability of real-time traffic data and stimulated by
the importance of proactive safety management, this paper attempts to provide a review of …

Air pollution, food production and food security: A review from the perspective of food system

F Sun, DAI Yun, X Yu - Journal of integrative agriculture, 2017 - Elsevier
Air pollution negatively impacts food security. This paper reviews the current literature on the
relationship between air pollution and food security from the perspective of food system. It …

An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors

Z Ma, G Mei, S Cuomo - Accident Analysis & Prevention, 2021 - Elsevier
Vulnerable road users (VRUs) are exposed to the highest risk in the road traffic environment.
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …

Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates

G Fountas, PC Anastasopoulos, M Abdel-Aty - Analytic methods in accident …, 2018 - Elsevier
This paper employs a correlated random parameters ordered probit modeling framework to
explore time-variant and time-invariant factors affecting injury-severity outcomes in single …

Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit and mixed logit models

F Ye, D Lord - Analytic methods in accident research, 2014 - Elsevier
There have been many studies that have documented the application of crash severity
models to explore the relationship between accident severity and its contributing factors …

Incorporating real-time traffic and weather data to explore road accident likelihood and severity in urban arterials

A Theofilatos - Journal of safety research, 2017 - Elsevier
Introduction The effective treatment of road accidents and thus the enhancement of road
safety is a major concern to societies due to the losses in human lives and the economic and …

Comparing machine learning and deep learning methods for real-time crash prediction

A Theofilatos, C Chen… - Transportation research …, 2019 - journals.sagepub.com
Although there are numerous studies examining the impact of real-time traffic and weather
parameters on crash occurrence on freeways, to the best of the authors' knowledge there …

Investigating the influence of streetscape environmental characteristics on pedestrian crashes at intersections using street view images and explainable machine …

H Yue - Accident Analysis & Prevention, 2024 - Elsevier
Examining the relationship between streetscape features and road traffic accidents is pivotal
for enhancing roadway safety. While previous studies have primarily focused on the …

Crash risk analysis during fog conditions using real-time traffic data

Y Wu, M Abdel-Aty, J Lee - Accident Analysis & Prevention, 2018 - Elsevier
This research investigates the changes of traffic characteristics and crash risks during fog
conditions. Using real-time traffic flow and weather data at two regions in Florida, the traffic …

[HTML][HTML] The effect of cognitive load on Detection-Response Task (DRT) performance during day-and night-time driving: A driving simulator study with young and older …

İ Öztürk, N Merat, R Rowe, S Fotios - … research part F: traffic psychology and …, 2023 - Elsevier
Over the past 25 years, distracted driving and driver inattention have been one of the main
risk factors for road traffic safety. Previous research has shown that increased cognitive load …