AIS Gene Library Based Real-Time Resource Allocation on Time-Sensitive Large-Scale Multi-Rate Systems

In time-sensitive large-scale distributed system with several control loops, optimal real-time resource allocation is crucial yet computationally demanding. The amount of data and the number of control loops makes the computational load so overwhelming that studies so far like model predictive control have only come up with sub-optimal solutions. This project will investigate and develop an Artificial Immune System (AIS) gene library based real-time resource allocation methodology. The system will be designed to assist and warn drivers of potentially hazardous situations. Gene Library will be used to classify and detect abnormality in vehicle movements in various traffic environments and to provide optimal real-time sampling rate adaptations and emergency interventions. The Impaired Driver Electronic Assistance (IDEA) Test bed at the North Carolina Center for Automotive Research (NCCAR), which serves as an accident prevention demonstration project, will be used to validate the outcomes of this study.