Over the past decades there has been a considerable development in the modeling of car-
following (CF) behavior as a result of research undertaken by both traffic engineers and …

Real-time risk assessment of autonomous driving at tactical and operational levels is
extremely challenging since both contextual and circumferential factors should concurrently …

Automated vehicles (AV) will have an impact on the movement of people and goods.
Assessing the effects of AVs on land use, congestion and the environment is of utmost …

A systematic procedure is presented for calibrating and validating a microscopic model of
safety performance. The context in the model application is the potential for rear-end …

Connected and autonomous vehicle (CAV) technologies are expected to change
driving/vehicle behavior on freeways. This study investigates the impact of CAVs on freeway …

Microscopic traffic simulation models require the calibration of car-following (or vehicle-
following) models. The parameters of vehicle-following models control individual driver's …

This study evaluated the effectiveness of connected vehicle (CV) technologies in adverse
visibility conditions using microscopic traffic simulation. Traffic flow characteristics …

This paper presents several metaheuristic algorithms to calibrate a microscopic traffic
simulation model. The genetic algorithm (GA), Tabu Search (TS), and a combination of the …

Traffic microsimulation is increasingly a preferred method of traffic analysis for today's
transportation professionals. The importance of properly calibrating these traffic simulations …

Transportation safety has been recognized as a public health issue worldwide,
consequently, transportation researchers and practitioners have been attempting to provide …