[HTML][HTML] A review on neural network techniques for the prediction of road traffic accident severity
The occurrence rate of death and injury due to road traffic accidents is rising increasingly
globally day by day. For several decades, the focus of research has been on getting a …
globally day by day. For several decades, the focus of research has been on getting a …
Analytic methods in accident research: Methodological frontier and future directions
FL Mannering, CR Bhat - Analytic methods in accident research, 2014 - Elsevier
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
A negative binomial Lindley approach considering spatiotemporal effects for modeling traffic crash frequency with excess zeros
Statistical analysis of traffic crash frequency is significant for figuring out the distribution
pattern of crashes, predicting the development trend of crashes, formulating traffic crash …
pattern of crashes, predicting the development trend of crashes, formulating traffic crash …
Prediction-based protocols for vehicular Ad Hoc Networks: Survey and taxonomy
IT Abdel-Halim, HMA Fahmy - Computer Networks, 2018 - Elsevier
The high mobility of vehicles as a major characteristic of Vehicular Ad Hoc Networks
(VANETs) affects vividly the dynamic nature of the networks and results in additional …
(VANETs) affects vividly the dynamic nature of the networks and results in additional …
Grouped Random Parameters Negative Binomial-Lindley for accounting unobserved heterogeneity in crash data with preponderant zero observations
Develo** robust and reliable statistical models to estimate, analyze, and understand crash
data is a key element in various highway safety evaluation tasks. Crash data have …
data is a key element in various highway safety evaluation tasks. Crash data have …
Traffic volume and crashes and how crash and road characteristics affect their relationship–A meta-analysis
AK Høye, IS Hesjevoll - Accident Analysis & Prevention, 2020 - Elsevier
The present study has investigated the relationship between traffic volume and crash
numbers by means of meta-analysis, based on 521 crash prediction models from 118 …
numbers by means of meta-analysis, based on 521 crash prediction models from 118 …
[HTML][HTML] Road crash prediction models: different statistical modeling approaches
A Abdulhafedh - Journal of transportation technologies, 2017 - scirp.org
Road crash prediction models are very useful tools in highway safety, given their potential
for determining both the crash frequency occurrence and the degree severity of crashes …
for determining both the crash frequency occurrence and the degree severity of crashes …
Applying a random parameters Negative Binomial Lindley model to examine multi-vehicle crashes along rural mountainous highways in Malaysia
Road safety in rural mountainous areas is a major concern as mountainous highways
represent a complex road traffic environment due to complex topology and extreme weather …
represent a complex road traffic environment due to complex topology and extreme weather …
Finite mixture Negative Binomial-Lindley for modeling heterogeneous crash data with many zero observations
Crash data are often highly dispersed; it may also include a large amount of zero
observations or have a long tail. The traditional Negative Binomial (NB) model cannot model …
observations or have a long tail. The traditional Negative Binomial (NB) model cannot model …