Performance evaluation of surrogate measures of safety with naturalistic driving data

A proactive decision support system for predicting traffic crash events: A critical analysis of imbalanced class distribution

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Probabilistic field approach for motorway driving risk assessment

(2020) Freddy A. Mullakkal-Babu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

What came before the crash? An investigation through SHRP2 NDS data

(2019) Evita Papazikou et al.   SAFETY SCIENCE

A Comparison Analysis of Surrogate Safety Measures with Car-Following Perspectives for Advanced Driver Assistance System

(2018) Sehyun Tak et al.   JOURNAL OF ADVANCED TRANSPORTATION

A Novel Surrogate Safety Indicator Based on Constant Initial Acceleration and Reaction Time Assumption

(2017) Adrian Fazekas et al.   JOURNAL OF ADVANCED TRANSPORTATION

Comparative Assessment of Safety Indicators for Vehicle Trajectories on Highways

(2017) Freddy Antony Mullakkal-Babu et al.   TRANSPORTATION RESEARCH RECORD

Analyzing human driving data an approach motivated by data science methods

(2016) Peter Wagner et al.   CHAOS SOLITONS & FRACTALS

Driving safety field theory modeling and its application in pre-collision warning system

(2016) Jianqiang Wang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Heavy-Truck Drivers’ Following Behavior With Intervention of an Integrated, In-Vehicle Crash Warning System

(2012) Shan Bao et al.   HUMAN FACTORS

Comparing Safety Performance Measures Obtained from Video Capture Data

(2011) Giuseppe Guido et al.   JOURNAL OF TRANSPORTATION ENGINEERING