Examining Seasonal Changes in Light-Vehicle Traffic Volume on Freeways Under Extreme Weather Conditions: A Combination of Temporal Statistical and Data Mining Non-Parametric Techniques

Crash severity analysis of vulnerable road users using machine learning

(2021) Md Mostafizur Rahman Komol et al.   PLoS One

Examining the influence of rural land uses and accessibility-related factors to estimate pedestrian safety: The use of GIS and machine learning techniques

(2021) Meysam Effati et al.   International Journal of Transportation Science and Technology

Techniques for efficient detection of rapid weather changes and analysis of their impacts on a highway network

(2020) Adil Alim et al.   GEOINFORMATICA

Modeling Usage Frequencies and Vehicle Preferences in a Large-Scale Electric Vehicle Sharing System

(2020) Songhua Hu et al.   IEEE Intelligent Transportation Systems Magazine

How Weather Events Affect Freeway Demand Patterns

(2017) Amjad Dehman et al.   TRANSPORTATION RESEARCH RECORD

Prediction of Crash Severity on Two-Lane, Two-Way Roads Based on Fuzzy Classification and Regression Tree Using Geospatial Analysis

(2015) Meysam Effati et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

A semantic-based classification and regression tree approach for modelling complex spatial rules in motor vehicle crashes domain

(2015) Meysam Effati et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Effects of Rain on Traffic Operations on Florida Freeways

(2015) Michelle L. Angel et al.   TRANSPORTATION RESEARCH RECORD

Variation of Impact of Cold Temperature and Snowfall and Their Interaction on Traffic Volume

(2010) Sandeep Datla et al.   TRANSPORTATION RESEARCH RECORD