Introducing Governing Dynamics for IS3C in Intelligent Transportation Systems

As vehicle intelligence technology advances rapidly, the need for unrestricted, fully autonomous driving intensifies. Relying solely on single vehicle intelligence is no longer sufficient to meet the requirements high-level autonomous driving. Issues such as sensor range and occluded areas urgently require the assistance of roadside infrastructure. However, the lack of consensus or clear solutions and testing methods on how to unify heterogeneous sensors and information amplifies the urgency of our proposed solution. Integrated sensing and communication (ISAC) has already become a key candidate technology for 6G, and integrated sensing, communication, and computing (ISCC) has also been frequently mentioned recently. Therefore, this paper aims to coordinate the intelligence of vehicles and roads to establish and validate integrated intelligence, including integrated sensing, communication, computing and control (IS3C). Our research takes a safety-centric approach, using hazard degree as a unifying feature for heterogeneous devices and information. We integrate sensors, roadside units (RSUs), and mobile edge computers (MECs) into roadside infrastructure. By combining the sensor-set, local dynamic maps (LDMs), Vehicle-to-Everything (V2X), Infrastructure-to-Everything (I2X), edge computing, and centralized control, we have developed a practical IS3C structure for intelligent transportation systems (ITS). This structure has been modeled and deployed step-by-step on real robots, and its feasibility has been demonstrated through experiments, meeting the latency requirements for ITS. Additionally, our research leverages the advantages of IS3C, particularly 'resource aggregation' by utilizing real-time environmental judgments and maximizing the potential of short-term historical information. We propose a new topic for future researchers studying ITS integrated control based on these integrated advantages.