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Predicting motor vehicle collisions using Bayesian neural network models: An empirical analysis
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What this work says
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Exploring contributory factors to highway accidents: A nonparametric multivariate adaptive regression spline approach
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Analyzing truck accident data on the interurban road Ankara–Aksaray–Eregli in Turkey: Comparing the performances of negative binomial regression and the artificial neural networks models
inferred← citeshttps://doi.org/10.1080/19439962.2022.2098442openalex-snapshot
Severity modeling of work zone crashes in New Jersey using machine learning models
inferred← citeshttps://doi.org/10.1080/19439962.2026.2715656openalex-snapshot
Analysis of vehicle damage severity in work zone accidents based on a random parameter logit model with heterogeneity in means and variances
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Predicting crash frequency using an optimised radial basis function neural network model
inferred← citeshttps://doi.org/10.1080/23249935.2019.1594446openalex-snapshot
Accounting for heterogeneity in traffic crash prediction: exploring the usage of a dynamic state-space approach
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Traffic conflict-based crash risk estimation: machine learning meets extreme value theory
inferred← citeshttps://doi.org/10.1080/24705314.2021.1892572openalex-snapshot
Predicting the compressive strength of a quaternary blend concrete using Bayesian regularized neural network
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A Complex Network Model for Analyzing Railway Accidents Based on the Maximal Information Coefficient*
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Accident prediction modelling for expressways: a review
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Bayesian network-based risk evaluation model for the operational requirements of the China Railway Express under the Belt and Road initiative
inferred← citeshttps://doi.org/10.1093/tse/tdz009openalex-snapshot
Road-safety recognition and network equilibrium with perceived route-choice sets
inferred← citeshttps://doi.org/10.1108/s2044-994120180000011018openalex-snapshot
Detecting High-Risk Accident Locations
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Application Of Artificial Neural Networks For Exploratory Analysis Of Small Dataset
inferred← citeshttps://doi.org/10.1109/access.2018.2874979openalex-snapshot
Comparing Prediction Performance for Crash Injury Severity Among Various Machine Learning and Statistical Methods
inferred← citeshttps://doi.org/10.1109/access.2020.3040165openalex-snapshot
Crash Severity Prediction Using Two-Layer Ensemble Machine Learning Model for Proactive Emergency Management
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9378376openalex-snapshot
Crash prediction for a French highway network with an XAI-informed Bayesian hierarchical model
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Reproduction of kinematics of cars involved in crash events using nonlinear autoregressive models
inferred← citeshttps://doi.org/10.1109/cloud55607.2022.00018openalex-snapshot
Bayesian Uncertainty Modelling for Cloud Workload Prediction
inferred← citeshttps://doi.org/10.1109/cso.2009.311openalex-snapshot
Bayesian Neural Network Ensemble Model Based on Partial Least Squares Regression and Its Application in Rainfall Forecasting
inferred← citeshttps://doi.org/10.1109/geoinformatics.2017.8090942openalex-snapshot
Investigating street accident characteristics and optimal safe route recommendation: A case study of New York City
inferred← citeshttps://doi.org/10.1109/i-smac49090.2020.9243446openalex-snapshot
ANN based Study to Investigate the Parameters Influencing Collision Type on a Four Lane Divided National Highway
inferred← citeshttps://doi.org/10.1109/iciecs.2009.5362791openalex-snapshot
Using the Perturbed System to Analyze the Sensitivity of Influential Factors with Neural Networks
inferred← citeshttps://doi.org/10.1109/ieem.2011.6117868openalex-snapshot
Comparison of neural network and regression techniques for nonlinear prediction problems
inferred← citeshttps://doi.org/10.1109/ijcnn.2010.5596610openalex-snapshot
Combining probabilistic neural networks and decision trees for maximally accurate and efficient accident prediction
inferred← citeshttps://doi.org/10.1109/jstqe.2022.3217819openalex-snapshot
Photonic Bayesian Neural Network Using Programmed Optical Noises
inferred← citeshttps://doi.org/10.1109/ojits.2020.3033523openalex-snapshot
Injury Severity Prediction From Two-Vehicle Crash Mechanisms With Machine Learning and Ensemble Models
inferred← citeshttps://doi.org/10.1109/ojits.2025.3583686openalex-snapshot
Time-Series Forecasting for Peak Hour Traffic Accidents
inferred← citeshttps://doi.org/10.1109/tits.2023.3275741openalex-snapshot
Edge Intelligence in Intelligent Transportation Systems: A Survey
inferred← citeshttps://doi.org/10.1111/j.1539-6924.2010.01417.xopenalex-snapshot
Extension of the Application of Conway-Maxwell-Poisson Models: Analyzing Traffic Crash Data Exhibiting Underdispersion
inferred← citeshttps://doi.org/10.1111/mice.12011openalex-snapshot
Exploring a Local Linear Model Tree Approach to Car-Following
inferred← citeshttps://doi.org/10.1142/s0217979217500102openalex-snapshot
A graph model for preventing railway accidents based on the maximal information coefficient
inferred← citeshttps://doi.org/10.1142/s0218001422520309openalex-snapshot
AACO: Aquila Anti-Coronavirus Optimization-Based Deep LSTM Network for Road Accident and Severity Detection
inferred← citeshttps://doi.org/10.1145/3110025.3116210openalex-snapshot
Finding Factors and Vehicles Involved in Two-Vehicle Accidents Through the Use of Social Network Analysis
inferred← citeshttps://doi.org/10.1155/2015/328029openalex-snapshot
Key Parameters Estimation and Adaptive Warning Strategy for Rear-End Collision of Vehicle
inferred← citeshttps://doi.org/10.1155/2017/5391054openalex-snapshot
Bayesian Hierarchical Modeling Monthly Crash Counts on Freeway Segments with Temporal Correlation
inferred← citeshttps://doi.org/10.1155/2018/3179207openalex-snapshot
Predicting Work Zone Collision Probabilities via Clustering: Application in Optimal Deployment of Highway Response Teams
inferred← citeshttps://doi.org/10.1155/2018/3869106openalex-snapshot
An Improved Deep Learning Model for Traffic Crash Prediction
inferred← citeshttps://doi.org/10.1155/atr/3184284openalex-snapshot
Analysis and Prediction of Traffic Accidents Based on Interpretable Spatial Machine Learning: A Case Study in California
inferred← citeshttps://doi.org/10.11606/t.18.2019.tde-30042019-091209openalex-snapshot
Possibilidades em inteligência artificial na detecção de padrões e previsão de acidentes em rodovias
inferred← citeshttps://doi.org/10.1177/0276146714547951openalex-snapshot
The Effects of Neoliberalism and Trade Liberalization on China’s Environment Over Time
inferred← citeshttps://doi.org/10.1177/0361198120948858openalex-snapshot
Case Study using Probe Vehicle Speeds to Assess Roadway Safety in Georgia
inferred← citeshttps://doi.org/10.1177/03611981211018461openalex-snapshot
Extracting Rules from Autonomous-Vehicle-Involved Crashes by Applying Decision Tree and Association Rule Methods
inferred← citeshttps://doi.org/10.1177/03611981221111367openalex-snapshot
Overfitting Prevention in Accident Prediction Models: Bayesian Regularization of Artificial Neural Networks
inferred← citeshttps://doi.org/10.1177/03611981221149434openalex-snapshot
Novel Decomposition and Ensemble Model with Attention Mechanism for Container Throughput Forecasting at Four Ports in Asia
inferred← citeshttps://doi.org/10.1177/03611981231166374openalex-snapshot
Automatic Emergency Braking System for Trucks for Two-Wheeler Longitudinal Collision Avoidance
inferred← citeshttps://doi.org/10.1177/1687814019851893openalex-snapshot
A classification and recognition model for the severity of road traffic accident
inferred← citeshttps://doi.org/10.1177/1748301817729953openalex-snapshot
Traffic fatalities prediction using support vector machine with hybrid particle swarm optimization
inferred← citeshttps://doi.org/10.12681/eadd/24327openalex-snapshot
Incident occurrence and response on urban freeways
inferred← citeshttps://doi.org/10.1371/journal.pone.0214539openalex-snapshot
Factors influencing traffic accident frequencies on urban roads: A spatial panel time-fixed effects error model
inferred← citeshttps://doi.org/10.1371/journal.pone.0214866openalex-snapshot
Roadway traffic crash prediction using a state-space model based support vector regression approach
inferred← citeshttps://doi.org/10.1371/journal.pone.0287045openalex-snapshot
Exploration of the application of Grey-Markov models in the causality analysis of traffic accidents in roundabouts
inferred← citeshttps://doi.org/10.14358/pers.74.10.1223openalex-snapshot
Bayesian Learning with Gaussian Processes for Supervised Classification of Hyperspectral Data
inferred← citeshttps://doi.org/10.15446/dyna.v86n211.79743openalex-snapshot
A review of Machine Learning (ML) algorithms used for modeling travel mode choice
inferred← citeshttps://doi.org/10.15862/08sats318openalex-snapshot
Analysis and assessment of the risk of loss of stability of the car at the radius of the round-off of the Congress to determine the speed
inferred← citeshttps://doi.org/10.1680/jinam.17.00028openalex-snapshot
Predicting road traffic accidents using artificial neural network models
inferred← citeshttps://doi.org/10.1680/jtran.16.00070openalex-snapshot
Assessing the interrelations of traffic collisions' risk factors
inferred← citeshttps://doi.org/10.1680/jtran.17.00019openalex-snapshot
Support vector machine model for prediction of accidents on non-urban sections of highways
inferred← citeshttps://doi.org/10.17226/22690openalex-snapshot
Artificial Intelligence Applications to Critical Transportation Issues
inferred← citeshttps://doi.org/10.17671/btd.22403openalex-snapshot
Trafik Kazaları Analizi için Bayes Ağları Modeli
inferred← citeshttps://doi.org/10.18130/v3z82hopenalex-snapshot
Heterogeneous Data Uncertainties in Risk Management of a Multiscale Transportation Program
inferred← citeshttps://doi.org/10.18607/es2020911179openalex-snapshot
Uso de técnicas de aprendizado de máquina na modelagem da segurança viária: mapeamento sistemático
inferred← citeshttps://doi.org/10.19184/korlantas-jirs.v1i1.14770openalex-snapshot
PENGGUNAAN DATA AIS-IRSMS UNTUK PREDIKSI KECELAKAAN MELIBATKAN SEPEDA MOTOR PADA RUAS JALAN DI KOTA SURABAYA
inferred← citeshttps://doi.org/10.20868/upm.thesis.38774openalex-snapshot
Diseño de un modelo para la identificación y análisis de tramos de carreteras sin accidentes : una nueva visión de la seguridad vial
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4934203/v1openalex-snapshot
Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Domain Generalization
inferred← citeshttps://doi.org/10.2139/ssrn.5057102openalex-snapshot
Crash Prediction Model for a Brazilian Multilane Highway in a Mountainous Region
inferred← citeshttps://doi.org/10.31274/etd-180810-1889openalex-snapshot
Modeling crash frequency data
inferred← citeshttps://doi.org/10.31390/gradschool_theses.4589openalex-snapshot
Driver Engagement In Secondary Tasks: Behavioral Analysis and Crash Risk Assessment
inferred← citeshttps://doi.org/10.3141/2061-05openalex-snapshot
Crash Frequency Analysis with Generalized Additive Models
inferred← citeshttps://doi.org/10.3141/2076-16openalex-snapshot
Travel Mode Choice Modeling with Support Vector Machines
inferred← citeshttps://doi.org/10.3141/2103-13openalex-snapshot
Analyzing Different Parameterizations of the Varying Dispersion Parameter as a Function of Segment Length
inferred← citeshttps://doi.org/10.3141/2147-14openalex-snapshot
Comparison of Application of Product of Baseline Models and Accident-Modification Factors and Models with Covariates: Predicted Mean Values and Variance
inferred← citeshttps://doi.org/10.3141/2165-04openalex-snapshot
Multiple Applications of Multivariate Adaptive Regression Splines Technique to Predict Rear-End Crashes at Unsignalized Intersections
inferred← citeshttps://doi.org/10.3141/2237-05openalex-snapshot
Mining Microscopic Data of Vehicle Conflicts and Collisions to Investigate Collision Factors
inferred← citeshttps://doi.org/10.3141/2512-05openalex-snapshot
Accident Prediction Models for Bus Rapid Transit Systems
inferred← citeshttps://doi.org/10.3141/2517-02openalex-snapshot
Investigating Temporal Effects on Truck Accident Occurrences in Manhattan, New York City
inferred← citeshttps://doi.org/10.3141/2545-12openalex-snapshot
Decision Tree Approach to Accident Prediction for Highway–Rail Grade Crossings: Empirical Analysis
inferred← citeshttps://doi.org/10.3141/2601-05openalex-snapshot
Model-Based Versus Data-Driven Approach for Road Safety Analysis: Do More Data Help?
inferred← citeshttps://doi.org/10.3233/ida-160822openalex-snapshot
Railway accidents analysis based on the improved algorithm of the maximal information coefficient
inferred← citeshttps://doi.org/10.32657/10356/136550openalex-snapshot
Accident risk assessment and prediction using surrogate indicators and machine learning
inferred← citeshttps://doi.org/10.32920/20372322openalex-snapshot
Improving functional form in cross-sectional regression studies to capture the non-linear safety effects of roadway attributes - Freeway median width case study
inferred← citeshttps://doi.org/10.32920/20372322.v1openalex-snapshot
Improving functional form in cross-sectional regression studies to capture the non-linear safety effects of roadway attributes - Freeway median width case study
inferred← citeshttps://doi.org/10.32920/23541900openalex-snapshot
Advancing the Methodology for Estimating the Effects of Safety Treatments
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