As connected autonomous vehicles (CAVs) become increasingly prevalent, there is a
growing need for simulation platforms that can accurately evaluate CAV behavior in large …

Currently there is a lack of detailed understanding regarding the effect of autonomous
vehicles on traffic operations and transportation infrastructure. PTV Vissim, the worlds …

Traffic simulation is an efficient and cost-effective way to test Autonomous Vehicles (AVs) in
a complex and dynamic environment. Numerous studies have been conducted for AV …

Current autonomous vehicle (AV) simulators are built to provide large-scale testing required
to prove capabilities under varied conditions in controlled, repeatable fashion. However …

A challenge with predicting the in-traffic performance of Connected and Autonomous
Vehicles (CAV) is that CAV algorithms are often analyzed on a per-vehicle basis, but their …

Emerging technologies in the transportation field benefit greatly from vehicle simulators.
These simulations help developers to validate the algorithms, test various dangerous edge …

Connected and automated vehicles (CAVs) are expected to play a vital role in the next-
generation intelligent transportation system. In recent years, researchers have proposed …

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

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 …

Autonomous vehicles (AVs) have the potential to significantly revolutionize society by
providing a secure and efficient mode of transportation. Recent years have witnessed …