This paper presents a unified modeling environment to simulate vehicle driving and
powertrain operations within the context of the surrounding environment, including …

We present a novel, real-time algorithm for modeling large-scale, realistic traffic using a
hybrid model of both continuum and agent-based methods for traffic simulation. We simulate …

With the growing popularity of digital twin and autonomous driving in transportation, the
demand for simulation systems capable of generating high-fidelity and reliable scenarios is …

In contrast to aggregated macroscopic models of traffic simulation, multi-agent microscopic
models, such as MATSim, enable modeling of individual behavior and facilitate more …

This article introduces an open source tool for simulating autonomous vehicles in complex,
high traffic, scenarios. The proposed approach consists on creating an hybrid simulation …

Simulation has become one of the primary tools for the evaluation of transportation systems.
To investigate novel concepts such as autonomous vehicles or car-2-car communication …

This paper describes a model for traffic simulation of an urban environment and its
implementation in a driving simulator. The simulator is also able to reproduce realistic traffic …

This paper presents the system development of a co-simulation platform aimed at studying
driving behavior with multiple participants. The objective of this study was to create an …

Virtual traffic benefits a variety of applications, including video games, traffic engineering,
autonomous driving, and virtual reality. To date, traffic visualization via different simulation …

In the last decade, significant research efforts and technology have been dedicated to the
development of microsimulation tools for a better representation of traffic systems. As a …