Highway Traffic Crash Risk Prediction Method considering Temporal Correlation Characteristics

Identification of dynamic traffic crash risk for cross-area freeways based on statistical and machine learning methods

(2022) Yang Yang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Predicting Freeway Traffic Crash Severity Using XGBoost-Bayesian Network Model with Consideration of Features Interaction

(2022) Yang Yang et al.   JOURNAL OF ADVANCED TRANSPORTATION

A Parallel FP-Growth Mining Algorithm with Load Balancing Constraints for Traffic Crash Data

(2022) Yang Yang et al.   International Journal of Computers Communications & Control

Exploring Traffic Crash Occurrence Mechanism toward Cross-Area Freeways via an Improved Data Mining Approach

(2022) Yang Yang et al.   Journal of Transportation Engineering Part A-Systems

A highway crash risk assessment method based on traffic safety state division

(2020) Dongye Sun et al.   PLoS One

A deep fusion model based on restricted Boltzmann machines for traffic accident duration prediction

(2020) Linchao Li et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Real-time traffic incident detection based on a hybrid deep learning model

(2020) Linchao Li et al.   Transportmetrica A-Transport Science

Identifying Factors that Influence the Patterns of Road Crashes Using Association Rules: A case Study from Wisconsin, United States

(2019) Shuai Yu et al.   Sustainability

A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections

(2019) Wencheng Wang et al.   JOURNAL OF ADVANCED TRANSPORTATION

Factors influencing traffic accident frequencies on urban roads: A spatial panel time-fixed effects error model

(2019) Wencheng Wang et al.   PLoS One

Bayesian networks for mathematical models: Techniques for automatic construction and efficient inference

(2012) Catherine G. Enright et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives

(2010) Dominique Lord et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Using dynamic Bayesian network for scene modeling and anomaly detection

(2009) Imran N. Junejo   Signal Image and Video Processing

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

Empirical characterization of random forest variable importance measures

(2007) Kellie J. Archer et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS