Unified embedded operating system for vehicle control and traffic management

Abstract

Developing a unified and embedded operating system (UEOS) aims to provide services for vehicle control and traffic management. To this end, this study begins from the perspective of engineering applications to construct a mathematical model for examining key problems in vehicle-following control. This exploration extends to the behavior of individual vehicles, integrating mesoscopic and macroscopic viewpoints on traffic management. The critical need to regulate such behavior is underscored as essential for establishing a safe, efficient, and steady following state. Subsequently, we delve into state transition-based vehicle-following control and generalized control, leveraging real-time tracking of safety distance and velocity differences in vehicle velocities to establish, maintain, recover or newly reestablish a safe and efficient, and steady following state. Proposed solutions encompass identifying and managing vehicle-following relationship, along with managing vehicle information. Additionally, an agent-based model is proposed for the dynamic configuration of vehicular roles. These solutions adapt to dynamic changes in vehicle-following situation, ultimately enhancing the ability of vehicles to improve their behavior. These conceptual frameworks lay the foundation for developing the UEOS, dedicated to the control, optimization, and management of vehicle-following behaviors. We then outline a strategy that emphasizes modules closely linked to the engineering application of vehicle control and traffic management in the hardware abstraction layer and the middleware layer, paving the way for the development of the corresponding software system. When these modules become technologically mature, seamless integration into the operating system layer is envisioned. Finally, the importance of the proposed platform is highlighted and the preliminary technological route is outlined for developing the UEOS.