An integrated methodology for real-time driving risk status prediction using naturalistic driving data

Improve Aggressive Driver Recognition Using Collision Surrogate Measurement and Imbalanced Class Boosting

(2020) Ke Wang et al.   International Journal of Environmental Research and Public Health

Real-time crash prediction on expressways using deep generative models

(2020) Qing Cai et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Determining risk-based safety thresholds through naturalistic driving patterns using trajectory data on intercity expressways

(2019) Narayana Raju et al.   SAFETY SCIENCE

Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data

(2019) Jie Chen et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Forecasting Markers of Habitual Driving Behaviors Associated With Crash Risk

(2019) George Panagopoulos et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Vehicle Driving Risk Prediction Based on Markov Chain Model

(2018) Xiaoxia Xiong et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY

A Data-Driven Approach for Driving Safety Risk Prediction Using Driver Behavior and Roadway Information Data

(2018) Nasim Arbabzadeh et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study

(2018) Meixin Zhu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Effects of crash warning systems on rear-end crash avoidance behavior under fog conditions

(2018) Yina Wu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Simulation Study of Predicting Real-Time Conflict-Prone Traffic Conditions

(2017) Christos Katrakazas et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Real-Time Rear-End Collision-Warning System Using a Multilayer Perceptron Neural Network

(2016) Donghoun Lee et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Big Data applications in real-time traffic operation and safety monitoring and improvement on urban expressways

(2015) Qi Shi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A novel variable selection method based on frequent pattern tree for real-time traffic accident risk prediction

(2015) Lei Lin et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Bayesian Updating Approach for Real-Time Safety Evaluation with Automatic Vehicle Identification Data

(2013) Mohamed M. Ahmed et al.   TRANSPORTATION RESEARCH RECORD

A data fusion framework for real-time risk assessment on freeways

(2012) Mohamed Ahmed et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Development of crash prediction models with individual vehicular data

(2011) Hojun “Daniel” Son et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES