A study of freeway crash risk prediction and interpretation based on risky driving behavior and traffic flow data

Class-imbalanced crash prediction based on real-time traffic and weather data: A driving simulator study

(2020) Zouhair Elamrani Abou Elassad et al.   Traffic Injury Prevention

Real-time crash prediction on expressways using deep generative models

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

Real-Time Crash Risk Prediction using Long Short-Term Memory Recurrent Neural Network

(2019) Jinghui Yuan et al.   TRANSPORTATION RESEARCH RECORD

Quasi-vehicle-trajectory-based real-time safety analysis for expressways

(2019) Ling Wang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Development of Urban Road Order Index Based on Driving Behavior and Speed Variation

(2019) Ying Yao et al.   TRANSPORTATION RESEARCH RECORD

Real-time crash prediction in an urban expressway using disaggregated data

(2018) Franco Basso et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Bayesian dynamic updating approach for urban expressway real-time crash risk evaluation

(2018) Kui Yang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Real-time crash prediction on urban expressways: identification of key variables and a hybrid support vector machine model

(2016) Jie Sun et al.   IET Intelligent Transport Systems

Paleoenvironmental reconstruction of the radial sand ridge field in the South Yellow Sea (east China) since 45ka using the sediment magnetic properties and granulometry

(2015) Longsheng Wang et al.   JOURNAL OF APPLIED GEOPHYSICS

Real-time crash prediction for expressway weaving segments

(2015) Ling Wang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

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

Examining Heterogeneity of Driver Behavior with Temporal and Spatial Factors

(2014) Adrian B. Ellison et al.   TRANSPORTATION RESEARCH RECORD

Utilizing Microscopic Traffic and Weather Data to Analyze Real-Time Crash Patterns in the Context of Active Traffic Management

(2013) Rongjie Yu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

The heterogeneous effects of guardian supervision on adolescent driver-injury severities: A finite-mixture random-parameters approach

(2013) Yingge Xiong et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Using the Bayesian updating approach to improve the spatial and temporal transferability of real-time crash risk prediction models

(2013) Chengcheng Xu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Estimation of Real-Time Crash Risk

(2012) Anurag Pande et al.   TRANSPORTATION RESEARCH RECORD

Dynamic Logistic Regression and Dynamic Model Averaging for Binary Classification

(2011) Tyler H. McCormick et al.   BIOMETRICS

The Viability of Using Automatic Vehicle Identification Data for Real-Time Crash Prediction

(2011) Mohamed M. Ahmed et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

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