Recent failures in real-world self-driving tests have suggested a paradigm shift from directly
learning in real-world roads to building a high-fidelity driving simulator as an alternative …

Recent technology advances significantly push forward the development and the
deployment of the concept of smart, such as smart community and smart city. Smart …

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 …

Microscopic traffic simulation (MTS) is the emulation of real-world traffic movements in a
virtual world with various traffic entities (eg, vehicles and pedestrians). Typically, the …

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 …

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

This work presents a distributed real-time simulation setup for automated driving function
testing in urban environments. In the automotive domain, a large number of simulation …

In order to verify and validate autonomous vehicles, testbeds integrating the whole system
from perception to actuation are necessary. Above all, this applies to the assessment of the …

We use traffic simulations to quantify the impact of autonomous vehicles in various traffic
scenarios, where vehicles at higher automation levels behave more opportunistically in car …

Autonomous vehicles are expected to navigate in complex traffic scenarios with multiple
surrounding vehicles. The correlations between road users vary over time, the degree of …