CPS: Synergy: Real-Time Cyber-Human-Vehicle Systems for Driving Safety Enhancement

In this poster, we briefly present the overview of this CPS project and our research progress in its first year. The overall goals of this project are to develop onboard-adaptable and personalizable human driver models, create revolutionary driver-specific and personalized vehicle active motion control systems, design dynamic onboard real-time computation task scheduling methods, and integrate real-time V2V communications with driver-vehicle-pair-specific inter-vehicle motion control methods. We also aim to inspire interests of young people and attract them to pursue their higher education in engineering and science. We take a multidisciplinary research approach to yield synergistic innovations at the intersection of human factor, vehicle control, onboard real-time computation and communications for effectively utilizing the newly available vehicle cyber resources to maximize the likelihood of real-world driving accident avoidance. In the first year of this project, we have made progresses in several aspects of this multidisciplinary research. Virtual reality based human subject study platforms have been developed and utilized to model human driver attentional allocations. Based on the human subject studies, we also created individual human steering models and prediction methods. A multi-channel communication selection algorithm to improve the vehicle-to-vehicle message exchanges was designed, simulated in NS2 environment, and preliminarily tested on scaled vehicles. Preliminary personalized vehicle motion control algorithms have been devised and evaluated in CarSim-based simulations. In addition, we also started research dissemination and educational outreach efforts.