A hierarchical Bayesian spatiotemporal random parameters approach for alcohol/drug impaired-driving crash frequency analysis
Sign Up to like & getrecommendations! Published in 2019 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2019.01.002
Abstract: Abstract Unobserved heterogeneity, which has been recognized as a critical issue in crash frequency modelling, generates from multiple sources, including observable and unobservable factors, space and time instability, crash severities, etc. However, only a very… read more here.
Keywords: random parameters; hierarchical bayesian; crash; crash frequency ... See more keywords
Do we need multivariate modeling approaches to model crash frequency by crash types? A panel mixed approach to modeling crash frequency by crash types
Sign Up to like & getrecommendations! Published in 2019 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2019.100107
Abstract: In safety literature, simulation-based multivariate framework is the most commonly employed approach for analyzing multiple crash frequency dependent variables. The current research effort contributes to literature on crash frequency analysis by suggesting an alternative and… read more here.
Keywords: crash frequency; crash; model; crash types ... See more keywords
Application of random effects negative binomial model with clustered dataset for vehicle crash frequency analysis
Sign Up to like & getrecommendations! Published in 2020 at "International journal of transportation science and technology"
DOI: 10.1016/j.ijtst.2020.03.010
Abstract: Abstract One of the major challenges with vehicle crash frequency studies is how to deal with the unobserved heterogeneity in crash data. While statistical models of crash frequency analysis based on single probability distributions are… read more here.
Keywords: frequency analysis; crash frequency; crash; vehicle crash ... See more keywords
Bicycle crash frequency modeling across different crash severities using a random-forest-based Shapley Additive explanations approach
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Injury Control and Safety Promotion"
DOI: 10.1080/17457300.2025.2485040
Abstract: Abstract Statistical modeling and data-driven studies on bicycle accidents are widespread, however, explanations of the underlying mechanisms remain limited, particularly regarding the impact of key risk factors on the bicycle crash frequency across different crash… read more here.
Keywords: crash frequency; crash; bicycle; risk factors ... See more keywords
Application of Reliability Models for Crash Frequency Analysis: Implications for Network-wide Safety Performance
Sign Up to like & getrecommendations! Published in 2024 at "Canadian Journal of Civil Engineering"
DOI: 10.1139/cjce-2023-0508
Abstract: The present study demonstrated the potential applications of reliability models for crash analysis of a large highway network. Specifically, three major outcomes of reliability models were investigated: temporal distributions of crashes, reliability score, and expected… read more here.
Keywords: reliability models; reliability; highway; network ... See more keywords
Exploring the temporal correlations of factors affecting traffic safety on mountain freeways: Through new crash frequency modelling methods
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0319831
Abstract: The potential factors contributing to safety risks on mountainous freeways exhibit significant seasonal clustering and temporal correlations. However, these temporal characteristics have not been accurately captured by existing crash modeling methods, which severely compromise model… read more here.
Keywords: crash; safety; crash frequency; temporal correlations ... See more keywords
DEVELOPMENT OF A CRASH FREQUENCY MODEL OF INDONESIAN FREEWAYS
Sign Up to like & getrecommendations! Published in 2024 at "Transport Problems"
DOI: 10.20858/tp.2023.19.3.06
Abstract: It is imperative to comprehend the factors that contribute to traffic crashes if they are to be reduced effectively. This study aimed to develop a crash frequency model of Indonesian inter-urban freeways. Data was collected… read more here.
Keywords: crash frequency; traffic; frequency model; frequency ... See more keywords
An Interpretable Machine Learning-Based Hurdle Model for Zero-Inflated Road Crash Frequency Data Analysis: Real-World Assessment and Validation
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app142310790
Abstract: Road traffic crashes pose significant economic and public health burdens, necessitating an in-depth understanding of crash causation and its links to underlying factors. This study introduces a machine learning-based hurdle model framework tailored for analyzing… read more here.
Keywords: crash; road; machine learning; crash frequency ... See more keywords