Real-Time Simulator for Remote Vehicle Control with Multi-Network Support
A study conducted by Kengo Sasaki et al., in collaboration with Toyota Motor Corporation was selected for presentation at the IEEE Intelligent Vehicles Symposium (IV 2025).
Next-generation mobile networks, such as Beyond 5G and 6G, are expected to enable mission-critical services, including remote vehicle control. In such applications, remote operators are required to control vehicles based on real-time video streams transmitted from the vehicle. Consequently, communication stability and low delay are important, and enhancing reliability through the utilization of multiple mobile network connections has been extensively studied. However, to date, no simulation environment has been available that facilitates comprehensive evaluation of such services, including high-reliability communication technologies.
In this paper, we propose a scalable, real-time remote vehicle control simulator based on a microservice architecture*1. Each mobile network is independently simulated within a virtual execution environment, known as a container, thereby enabling modular scalability without mutual interference. Moreover, asynchronous information sharing to containers is achieved by employing MQTT*2, a lightweight messaging protocol. This framework enables pre-deployment assessment of the safety and reliability of remote vehicle control systems and is expected to make a significant contribution to the realization of future autonomous mobility infrastructures.
*1) A software architecture in which a single application is composed of small, independent services, each responsible for a specific function.
*2) A type of data delivery protocol that allows asynchronous information sharing between data senders and receivers.
Title: Real-time Simulator Exploiting Micro-Service Architecture for Mission-Critical Service with Multiple Mobile Networks
Authors: Sasaki, K., Takanashi, M., Kaneko, N., Onishi, R., Sanda, K.
Appears in: IEEE Intelligent Vehicles Symposium (IV)
Presented: June 25, 2025
https://doi.org/10.1109/IV64158.2025.11097549