The Integration of Macroscopic Traffic Optimization Control and Microscopic Traffic Flow Model for Mixed Traffic: A Cyber-Physical System Perspective

In future transportation systems, there is a growing emphasis on integrating macroscopic traffic control and the state of microscopic traffic flow to improve traffic efficiency and safety. And cyber-physical system (CPS) can support integrated, efficient and reliable operations of diverse critical intelligent transportation infrastructure and services. Considering the limitations imposed by the communication range and computing capabilities of single agent, a novel method for combining macro traffic optimization with microscopic traffic flow models from a CPS perspective is presented. This approach takes into account not only exceptional events but also the propagation of congestion waves. Specifically, we analyze macroscopic traffic patterns and transmit optimization results to the microscopic level, as inputs to the microscopic traffic flow model, thereby influencing individual vehicle. Furthermore, the intelligent driver model, incorporating a molecular dynamics-based representation of how multiple leading vehicles impact the ego vehicle is investigated. By leveraging CPS-based macro traffic analysis, we improve the car-following model. To validate the effectiveness of the proposed optimization strategy, we conducted simulation experiments from both microscopic and macroscopic perspectives under mixed traffic environment. The results demonstrate the efficacy of the proposed approach in optimizing vehicle fuel consumption and improving traffic efficiency.