Testing and evaluation are critical steps in the development and deployment of autonomous
vehicles (AVs). This paper aims to provide an online adaptive generation framework for …

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 …

Recently, many efforts have been made to develop more efficient Inter-Vehicle
Communication (IVC) protocols for on-demand route planning according to observed traffic …

Scenario-based testing for automated driving systems (ADS) must be able to simulate traffic
scenarios that rely on interactions with other vehicles. Although many languages for high …

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

The augmented scale and complexity of urban transportation networks have significantly
increased the execution time and resource requirements of vehicular network simulations …

Abstract Development cycles in Advanced Driver Assistance Systems (ADAS) and
Autonomous Driving (AD) technologies pose various challenges even at the development …

In our days, vehicle automation is in a continuous evolutionary phase consisting of
experiments, testing and validation. Accelerating the development and deployment of …

Although Cooperative Driving Automation (CDA) has attracted considerable attention in
recent years, there remain numerous open challenges in this field. The gap between …

Connected and autonomous vehicles will change the future of our surface transportation
system by enhancing safety, improving mobility, reducing energy consumption, and …