Simulation testing is critical for the development and optimization of connected and
autonomous vehicle (CAV) driving systems. Existing simulation tools for autonomous driving …

Autonomous vehicles (AVs) and cooperative automated vehicles (CAVs) are expected to
largely reshape our mobility systems. The limited deployment of AVs and CAVs on roads …

Modeling, prediction, and evaluation of personalized driving behaviors are crucial to
emerging advanced driver-assistance systems (ADAS) that require a large amount of …

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

To meet the challenges in software testing for automated vehicles, such as increasing
system complexity and an infinite number of operating scenarios, new simulation methods …

The automotive industry faces the major challenge of testing and releasing cooperative and
automated vehicles. In order to support development accompanying tests while …

Considering the recent advances in autonomous driving technology, conventional on-road
based testing tools cannot meet the validation requirements with respect to time and cost …

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

Most existing studies on connected and automated vehicle (CAV) applications apply
simulation to evaluate system effectiveness. Model accuracy, limited data for calibration, and …

Simulating automotive functions that rely on interaction with other vehicles (eg, perception-
based control or algorithms relying on inter-vehicular communication) created a demand for …