Development of an accident prediction model for Italian freeways

F La Torre, M Meocci, L Domenichini, V Branzi… - Accident Analysis & …, 2019 - Elsevier
The roadway safety management process plays an important role in the national efforts for
improving road safety along the Italian freeway network. In 2016, 8.3% of the overall Italian …

Prediction and factor identification for crash severity: comparison of discrete choice and tree-based models

X Wang, SH Kim - Transportation research record, 2019 - journals.sagepub.com
Crash severity is one of the most widely studied topics in traffic safety area. Scholars have
studied crash severity through various types of models. Using the publicly available 2017 …

Road traffic accident prediction modelling: a literature review

G Yannis, A Dragomanovits, A Laiou… - Proceedings of the …, 2017 - icevirtuallibrary.com
This paper presents a comprehensive literature review on road traffic accident prediction
models (APMs) and crash modification factors (CMFs). The focus is on motorways and …

Prediction of road traffic death rate using neural networks optimised by genetic algorithm

SA Jafari, S Jahandideh, M Jahandideh… - … journal of injury …, 2015 - Taylor & Francis
Road traffic injuries (RTIs) are realised as a main cause of public health problems at global,
regional and national levels. Therefore, prediction of road traffic death rate will be helpful in …

Assessing safety on Dutch freeways with data from infrastructure-based intelligent transportation systems

M Abdel-Aty, A Pande, A Das… - Transportation …, 2008 - journals.sagepub.com
Most freeway traffic surveillance technologies deployed around the world remain
infrastructure based, with underground loop detectors being the most common among them …

[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 …

Comparison of multivariate regression models and artificial neural networks for prediction highway traffic accidents in Spain: a case study

A Alqatawna, AMR Álvarez… - Transportation research …, 2021 - Elsevier
In recent years Spain shows the great reduction in the accident rate that has been achieved
and the improvement of the behavior of road users, despite this, there is still a need to …

Prediction for traffic accident severity: comparing the artificial neural network, genetic algorithm, combined genetic algorithm and pattern search methods

MM Kunt, I Aghayan, N Noii - Transport, 2011 - Taylor & Francis
This paper focuses on predicting the severity of freeway traffic accidents by employing
twelve accident-related parameters in a genetic algorithm (GA), pattern search and artificial …

Machine learning approaches to traffic accident analysis and hotspot prediction

D Santos, J Saias, P Quaresma, VB Nogueira - Computers, 2021 - mdpi.com
Traffic accidents are one of the most important concerns of the world, since they result in
numerous casualties, injuries, and fatalities each year, as well as significant economic …

[HTML][HTML] Crash prediction for freeway work zones in real time: A comparison between Convolutional Neural Network and Binary Logistic Regression model

J Wang, H Song, T Fu, M Behan, L Jie, Y He… - International journal of …, 2022 - Elsevier
Safety of drivers in freeway work zones has been a problem. Real-time crash prediction
helps prevent crashes before they happen. This paper looks at real-time crash prediction in …