Crash prediction based on random effect negative binomial model considering data heterogeneity
Sign Up to like & getrecommendations! Published in 2020 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.123858
Abstract: Abstract In order to improve traffic safety, a large amount of works focusing on crash prediction and identifying factors contributing to crashes. However, the ignorance of data unobserved heterogeneity in some traditional models may lead… read more here.
Keywords: binomial model; model; crash prediction; negative binomial ... See more keywords
Class-imbalanced crash prediction based on real-time traffic and weather data: A driving simulator study
Sign Up to like & getrecommendations! Published in 2020 at "Traffic Injury Prevention"
DOI: 10.1080/15389588.2020.1723794
Abstract: Abstract Objective: Crash occurrence prediction has been of major importance in proactively improving traffic safety and reducing potential inconveniences to road users. Conventional statistical crash prediction models frequently suffer from severe data quality issues and… read more here.
Keywords: traffic; driving simulator; real time; crash ... See more keywords
Development of district-wise crash prediction model in Bangladesh
Sign Up to like & getrecommendations! Published in 2020 at "Cogent Engineering"
DOI: 10.1080/23311916.2020.1762525
Abstract: Abstract Every year severity of road crash shows substantial evidence that Bangladesh is a crash-prone country. Different factors are directly and indirectly linked with crash occurrences. Thus, developing a crash prediction model is of necessity… read more here.
Keywords: prediction model; development district; crash prediction; crash ... See more keywords