Traffic estimation using probe vehicle data is a crucial aspect of traffic management as it
provides real-time information about traffic conditions. This study introduced a novel …

Significant changes in road and traffic conditions in transition areas are key to traffic
organization and guaranteeing safety in freeway work zones. Currently, most of the related …

Evolving consumer demands and market trends have led to businesses increasingly
embracing a production approach that prioritizes flexibility and customization. Consequently …

Driving behavior is considered a unique driving habit of each driver and has a significant
impact on road safety. Classifying driving behavior and introducing policies based on the …

This study explores traffic crash narratives in an attempt to inform and enhance effective
traffic safety policies using text-mining analytics. Text mining techniques are employed to …

Driving behaviours are the root cause of millions of road accidents every year. Aggressive
and distracted driving are the two most important examples of driving misbehaviours. This …

In the realm of transportation science, the advent of deep learning has propelled
advancements in predicting longitudinal driving behavior. This study explores the …

Traffic density estimation using various Market Penetration Rates (MPRs) of Connected
Vehicle (CV) data represents an area in need of continued research and refinement to fully …