Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications
This addresses safety and efficiency issues for future connected automated vehicles, but appears incremental as it builds on existing ACP methods.
The paper tackles the problem of improving road safety, traffic efficiency, and driving cooperation for connected automated vehicles by proposing a digital quadruplets framework based on ACP parallel driving, with experimental results demonstrating its effectiveness.
Digital quadruplets aiming to improve road safety, traffic efficiency, and driving cooperation for future connected automated vehicles are proposed with the enlightenment of ACP based parallel driving. The ACP method denotes Artificial societies, Computational experiments, and Parallel execution modules for cyber-physical-social systems. Four agents are designed in the framework of digital quadruplets: descriptive vehicles, predictive vehicles, prescriptive vehicles, and real vehicles. The three virtual vehicles (descriptive, predictive, and prescriptive) dynamically interact with the real one in order to enhance the safety and performance of the real vehicle. The details of the three virtual vehicles in the digital quadruplets are described. Then, the interactions between the virtual and real vehicles are presented. The experimental results of the digital quadruplets demonstrate the effectiveness of the proposed framework.