VehicIe-to-Everything (V2X) communication is a key element in the efforts to realize the Intelligent Transport Systems (ITS) and automated driving society. In the practical application of automated driving, there are high expectations for the use of V2X communication as a method for extending and supplementing the information obtained by sensors, while maintaining autonomous control based on the vehicle's onboard sensors. In order to support this V2X communication, the 3rd Generation Partnership Project (3GPP) has developed specifications for Long Term Evolution (LTE)-V2X and New Radio (NR)-V2X. For NR, data communication with lower latency and higher reliability is expected compared to conventional LTE. The use of V2X communication has advantages such as the acquisition of blind spot information through vehicle information sharing, the provision of signal information, and the facilitation of traffic flow through travel mediation. However, on the other hand, there are some problems such as the communication quality cannot be guaranteed when vehicles are concentrated, such as poor connection and delay, and the coverage area of NR is smaller than that of LTE, making it difficult to cover all the vehicles. In this study, we propose a V2X communication congestion control method based on vehicle flow management to improve the efficiency of V2X communication. In order to confirm the effectiveness of the proposed method, we construct an evaluation environment and implement the distance-based routing method, the previous research method, and the proposed method using the traffic simulation software Vissim, and evaluate the transition of the number of connections in the coverage area and the number of vehicles that received the information during the evaluation period. The results show that when the traffic volume is high or there is not enough room for the number of connections in the coverage area, the system can provide more information to the vehicles with guaranteed communication quality compared to other methods.
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