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2022-12-16

SAE International Journal of Connected and Automated Vehicles 2022 Special Issue: Emerging Simulation Tools and Technologies for Testing and Evaluating Connected and Automated Vehicles: Part 1 JRN-CV-SI-05

Volume 5, Issue 4, 2022

All of the papers in this special issue aim to discuss emerging simulation methodologies and tools that can be applied by industry, government, and academia, to study ADS performance and impact on overall traffic systems.

Special Issue Co-Editors
Ziran Wang, Purdue University, USA
Guoyuan Wu, University of California, Riverside, USA
Jiaqi Ma, University of California, Los Angeles, USA
Yiheng Feng, Purdue University, USA
Hao Liu, University of California, Berkeley, USA
Chris Schwarz, University of Iowa, USA

The SAE International Journal of Connected and Automated Vehicles furthers state-of-the-art engineering research by publishing peer-reviewed scientific articles that showcase strong theoretical and empirical contributions and findings to the body of engineering knowledge surrounding various facets of the lifecycle treatment of connected and automated vehicles with an emphasis on the system perspective.

Part 1 of this special issue highlights several projects that either develop simulation tools or devise applications that make use of them. Many new tools and frameworks are being developed for research, commercial, and open-source communities. The articles selected in both Part 1 and Part 2 of this special issue will expose the reader to several proposed frameworks that address the ultimate problem with different, yet innovative, approaches.

Article Titles:

- Physics-Based Simulation solutions for Testing Performance of Sensors and Perception Algorithm under Adverse Weather Conditions
- Co-Simulation Platform for Modeling and Evaluating Connected and Automated Vehicles and Human Behavior in Mixed Traffic
- Real-Sim Interface: Enabling Multi-resolution Simulation and X-in-the-loop Development for Connected and Automated Vehicles
- Safety Analysis of Mixed Automated and Conventional Traffic Flows Utilizing a Submicroscopic Simulation Framework
- Drive Right: Autonomous Vehicle Education through an Integrated Simulation Platform
- Dynamic Vehicle-in-the-Loop: A Novel Method for Testing Automated Driving Functions
- Toward an Automated Scenario-Based X-in-the-Loop Testing Framework for Connected and Automated Vehicles


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