INTEGRATION Large-Scale Modeling Framework of Direct Cellular Vehicle-to-All (C-V2X) Applications

Area of Science:

• Cyber-physical systems engineering
• Transportation engineering
• Wireless communication networks

Background:

• Modern transportation systems are complex cyber-physical systems integrating wireless communication.
• Connected and automated vehicles necessitate advanced modeling tools to understand communication and traffic interactions.

Purpose of the Study:

• To develop a high-fidelity, large-scale, dynamic, and integrated traffic and cellular vehicle-to-everything (C-V2X) modeling tool.
• To capture the mutual interactions between communication and transportation systems in real-time.

Main Methods:

• Developed a scalable analytical communication model for millisecond-level packet movement.
• Coupled communication and traffic simulation models in real-time for a dynamic connected vehicle tool.
• Implemented scalable approaches to adjust model coupling frequency based on vehicle density.

Main Results:

• Demonstrated a scalable modeling framework on the Los Angeles downtown network during peak hours.
• Achieved faster-than-real-time simulation performance on a standard personal computer.
• Provided spatiotemporal estimates of packet delivery ratios for the simulated network.

Conclusions:

• The novel modeling framework offers a breakthrough for large-scale testing of C-V2X applications.
• Enables high-fidelity simulation of integrated traffic and communication dynamics.
• Facilitates the development and validation of future connected vehicle technologies.