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Connected and Autonomous Driving:
Integrated Simulation of Driving and V2X Communication
Connected and Autonomous Driving:
Integrated Simulation of Driving and V2X Communication
Fig1. Integrated Simulation of Driving and V2X Communication
[Description]
This research presents an integrated co-simulation framework that connects an ASAM OpenX–based virtual driving simulator (VTD) with the open-source WiLabV2Xsim for LTE and NR V2X communication performance evaluation.
By leveraging standardized road and driving scenarios defined by 3GPP and 5GAA, the proposed platform enables realistic and systematic assessment of V2X communication performance in connected and autonomous driving environments.
[Achievement]
[SCIE] J. Kwak, H. S. Chwa, H.-S. Jo, W. Kang, J. Kim, S. Lee, et al., "An Integrated Network-Computing Load Balancing Simulator for VEC-Assisted Autonomous Vehicles," IEEE Communications Magazine, vol. 63, no. 6, pp. 146-153, Jun. 2025.
[Int'l Conf.] S. Lee, T. Nam, K. Park, D. Shin, W. Kang, Y. Jang, J. Kim, J.-W. Choi, J. Kwak, and H.-S. Jo, "Autonomous Traffic and Communication Integrated Simulator for V2X Performance Evaluation," IEEE 100th Vehicular Technology Conference (VTC), Washington, DC, USA, Oct. 2024.
[Patent] J.-W. Choi, J. Kwak, J. Kim, J. Kim, W. Kang, H.-S. Jo, T. Nam, W. Seong, and S. Lee, "Apparatus and Method for Simulating Autonomous Vehicle," Patent No. 10-2024-0129141 (South Korea).
[Award] S. Lee, K. Park, D. Shin, S. Nam, and H.-S. Jo, "Development of Integrated Simulation Technology for Evaluating V2X-Based Autonomous Driving," Grand Prize, 2024 6th Future Automotive Talent Festival, Organized by Korea Electronics Association, 2024.
Hybrid-V2X Platform Based on Multi-Connectivity and Integrated TN–NTN Communication
Hybrid-V2X Platform Based on Multi-Connectivity and Integrated TN–NTN Communication
Fig2. Hybrid-V2X Platform
[Description]
This research extends Hybrid-V2X by incorporating multi-connectivity and integrated TN-NTN mobility management to ensure seamless service continuity for vehicular communications.
[Achievement]
[Int'l Conf.] D. Shin, S. Lee, and H.-S. Jo, "Deep Reinforcement Learning Based Dynamic Link Selection for Per-Message QoS Satisfaction in Hybrid V2X," The 16th International Conference on ICT Convergence (ICTC), Jeju Island, Korea, Oct. 2025.
[Domestic Conf.] S. Kwon and H.-S. Jo, "Communication Reliability-Aware A-Star algorithm for Distributed Route Planning in C-V2X Vehicles," Proceedings of Symposium of the Korean Institute of Communications and Information Sciences (KICS), 2025.
[Domestic Conf.] S. Lee and H.-S. Jo, "C-V2X Radio Access Technology Selection Algorithm for Intersection Left-Turn Assist Message Transmission," Proceedings of the 35th Joint Conference on Communications and Information (JCCI), 2025.
[Domestic Conf.] D. Shin and H.-S. Jo, "Reinforcement Learning-Based Dynamic Resource Allocation for Optimized Sensor Data Transmission in V2X Networks," Proceedings of the 35th Joint Conference on Communications and Information (JCCI), 2025.
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