The objective of this paper is to quantify and characterize driver behavior under different
roadway geometries and weather conditions. In order to explore how a driver perceives the …

This paper develops, implements and tests a framework for driving behavior modeling that
integrates the various decisions, such as acceleration, lane changing and gap acceptance …

Fog warning systems can convey warning messages to drivers and help to reduce crashes
that may occur due to the sudden occurrence of low visibility conditions. This study aims to …

Adverse weather conditions negatively impact the safety, mobility, and reliability of the
transportation network. Weather-responsive traffic management (WRTM) strategies have …

Adverse weather conditions have been shown to have a substantial impact on traffic flow
operations. It is however unclear which adaptation effects in actual longitudinal driving …

Driving above the speed limit is one of the factors that significantly affect safety. Many
studies examined the factors affecting the speed of vehicles in the simulated environment …

Vehicle fleet rear-end collisions (FRECs) are an extremely fatal type of traffic collisions on
freeway and they usually occur in foggy weather. This study aimed to explore the patterns of …

Adverse weather has a considerable impact on the behavior of drivers, which puts vehicles
and drivers in hazardous situations that can easily cause traffic accidents. This research …

Driving in foggy weather is a potentially dangerous activity that has been investigated using
various approaches. However, most of the previous research has focused on the driver's …

This paper provides valuable insights into lane-changing characteristics based on driver
behavior in fog and clear weather conditions using the Naturalistic Driving Study (NDS) data …