Analyzing road crash frequencies with uncorrelated and correlated random-parameters count models: An empirical assessment of multilane highways

TU Saeed, T Hall, H Baroud, MJ Volovski - Analytic methods in accident …, 2019 - Elsevier
Recent literature on highway safety research has focused on methodological advances to
minimize misspecifications and the potential for erroneous estimates and invalid statistical …

Ordered logistic models of influencing factors on crash injury severity of single and multiple-vehicle downgrade crashes: A case study in Wyoming

M Rezapour, M Moomen, K Ksaibati - Journal of safety research, 2019 - Elsevier
Abstract Introduction: The state of Wyoming, like other western United States, is
characterized by mountainous terrain. Such terrain is well noted for its severe downgrades …

A data mining approach to investigate patterns of powered two-wheeler crashes in Spain

A Montella, R de Oña, F Mauriello, MR Riccardi… - Accident Analysis & …, 2020 - Elsevier
Powered two-wheelers (PTWs) are growing globally each year as they are considered an
attractive alternative to cars (flexible, small, affordable, fast and easy to park), especially on …

Identification of traffic accident patterns via cluster analysis and test scenario development for autonomous vehicles

E Esenturk, AG Wallace, S Khastgir, P Jennings - IEEE Access, 2022 - ieeexplore.ieee.org
Increased safety is one of the main motivations for traffic research and planning. The
arduous task has two components:(i) improving the existing traffic policies based on a good …

The effects of on-street parking and road environment visual complexity on travel speed and reaction time

J Edquist, CM Rudin-Brown, MG Lenné - Accident Analysis & Prevention, 2012 - Elsevier
On-street parking is associated with elevated crash risk. It is not known how drivers' mental
workload and behaviour in the presence of on-street parking contributes to, or fails to …

Vulnerable road users' crash hotspot identification on multi-lane arterial roads using estimated exposure and considering context classification

N Mahmoud, M Abdel-Aty, Q Cai, O Zheng - Accident Analysis & Prevention, 2021 - Elsevier
This research develops safety performance functions and identifies the crash hotspots
based on estimated vulnerable road users' exposure at intersections and along the roadway …

Traffic safety analysis and model updating for freeways using Bayesian method

X Wang, Q Zhang, X Yang, Y Pei… - Journal of Transportation …, 2023 - Taylor & Francis
Freeway crash prediction models are the basic of traffic safety research, yet crash
occurrence and the influencing factors change over time. In order to make sure the …

[HTML][HTML] A data mining approach for traffic accidents, pattern extraction and test scenario generation for autonomous vehicles

E Esenturk, D Turley, A Wallace, S Khastgir… - International journal of …, 2023 - Elsevier
To effectively fight against traffic accidents, it is of great importance to analyse and
understand the conditions that are linked with accidents. Such an analysis can serve as the …

Multinomial logistic regression model for single-vehicle and multivehicle collisions on urban US highways in Arkansas

GH Bham, BS Javvadi… - Journal of Transportation …, 2012 - ascelibrary.org
Multivariate analysis can be used to identify the effects of several factors on the causes of a
crash compared with univariate analysis. This paper uses a multivariate-analysis technique …

Assessing the safety effects of multiple roadside treatments using parametric and nonparametric approaches

J Park, M Abdel-Aty - Accident Analysis & Prevention, 2015 - Elsevier
This study evaluates the safety effectiveness of multiple roadside elements on roadway
segments by estimating crash modification factors (CMFs) using the cross-sectional method …