Real-time safety analysis for expressways considering the heterogeneity of different segment types

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

Integrated optimization of traffic signals and vehicle trajectories at isolated urban intersections

(2018) Chunhui Yu et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

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

Real-time crash prediction for expressway weaving segments

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

A dynamic Bayesian network model for real-time crash prediction using traffic speed conditions data

(2015) Jie Sun et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Predicting Crashes on Expressway Ramps with Real-Time Traffic and Weather Data

(2015) Ling Wang et al.   TRANSPORTATION RESEARCH RECORD

Development of a Real-Time Crash Risk Prediction Model Incorporating the Various Crash Mechanisms Across Different Traffic States

(2014) Chengcheng Xu et al.   Traffic Injury Prevention

A Genetic Programming Model for Real-Time Crash Prediction on Freeways

(2012) Chengcheng Xu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Real-time prediction of visibility related crashes

(2012) Mohamed A. Abdel-Aty et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Building blocks for automated elucidation of metabolites: Machine learning methods for NMR prediction

(2008) Stefan Kuhn et al.   BMC BIOINFORMATICS