Connected and automated vehicles (CAVs) have the potential to improve many aspects of
the current transportation systems such as safety, mobility, and energy efficiency. In order to …

The Society of Automotive Engineers (SAE) defines six levels of driving automation, ranging
from Level 0 to Level 5. Automated driving systems perform entire dynamic driving tasks for …

Proper evaluation of traffic operations integrating connected and autonomous vehicles
(CAVs) requires accurate representation of these emerging technologies in microscopic …

Traffic microsimulation has a functional role in understanding the traffic performance on the
road network. This study originated with intent to understand traffic microsimulation and its …

In this paper, the authors present a microsimulation-based methodological approach for
evaluating the energy impact of connected and automated vehicles (CAVs). They use an …

Traffic simulation is an important tool that can assist researchers, analysts, and policymakers
in testing vehicle/traffic control algorithms, gaining insights into micro/macro traffic dynamics …

Connected and automated vehicle (CAV) technologies promise a substantial decrease in
traffic accidents and traffic jams, and bring new opportunities for improving vehicle's fuel …

Connected and automated vehicles (CAVs) can bring safety, mobility, and energy benefits to
transportation systems. Ideally, CAV applications would be fully evaluated and validated …

Abstract Connected and Autonomous Vehicles (CAVs) promise to improve road safety
greatly. Despite the numerous CAV trials around the globe, their benefit has yet to be proven …

Evaluation of VISSIM revealed that internal modeling of connected and autonomous
vehicles (CAV) has several limitations. For external modeling, two VISSIM interfaces are …