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 …
Crash injury severity analysis using a two-layer Stacking framework
Crash injury severity analysis is useful for traffic management agency to further understand
severity of crashes. A two-layer Stacking framework is proposed in this study to predict the …
severity of crashes. A two-layer Stacking framework is proposed in this study to predict the …
A review of incident prediction, resource allocation, and dispatch models for emergency management
In the last fifty years, researchers have developed statistical, data-driven, analytical, and
algorithmic approaches for designing and improving emergency response management …
algorithmic approaches for designing and improving emergency response management …
Severity prediction of traffic accidents with recurrent neural networks
In this paper, a deep learning model using a Recurrent Neural Network (RNN) was
developed and employed to predict the injury severity of traffic accidents based on 1130 …
developed and employed to predict the injury severity of traffic accidents based on 1130 …
A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics
Road safety is a major public health issue, with road crashes accounting for one-fourth of all
documented injuries. In these crashes, pedestrians are more vulnerable to fatal and/or …
documented injuries. In these crashes, pedestrians are more vulnerable to fatal and/or …
Effect of urban street trees on pedestrian safety: A micro-level pedestrian casualty model using multivariate Bayesian spatial approach
M Zhu, NN Sze, S Newnam - Accident Analysis & Prevention, 2022 - Elsevier
In the past decades, trees were considered roadside hazard. Street trees were removed to
provide clear zone and improve roadside safety. Nowadays, street trees are considered to …
provide clear zone and improve roadside safety. Nowadays, street trees are considered to …
Predicting cycling accident risk in Brussels: a spatial case–control approach
This paper aims at predicting cycling accident risk for an entire network and identifying how
road infrastructure influences cycling safety in the Brussels-Capital Region (Belgium). A …
road infrastructure influences cycling safety in the Brussels-Capital Region (Belgium). A …
The roles of exposure and speed in road safety analysis
Speed is a determining factor in road safety analysis. It is generally believed that an
increase in speed harms road safety. However, it can also be argued that driving at high …
increase in speed harms road safety. However, it can also be argued that driving at high …
Advancing proactive crash prediction: A discretized duration approach for predicting crashes and severity
Driven by advancements in data-driven methods, recent developments in proactive crash
prediction models have primarily focused on implementing machine learning and artificial …
prediction models have primarily focused on implementing machine learning and artificial …
Predicting and analyzing road traffic injury severity using boosting-based ensemble learning models with SHAPley Additive exPlanations
Road traffic accidents are one of the world's most serious problems, as they result in
numerous fatalities and injuries, as well as economic losses each year. Assessing the …
numerous fatalities and injuries, as well as economic losses each year. Assessing the …