Context Aware Middleware Model for Handling Vehicular Safety Issues

Abstract

Problem statement: This study proposed a mathematical model for the existing framework InVANET; context prediction and simulation for vehicle safety. Approach: Markov process was used to model context and predict the states with the help of transition probability matrix. The context parameters were collected from CarSim simulator and inferred using JENA and SPARQL. Results: The longitudinal speed and lateral offset are mainly considered and analyzed for a distracted driver situation. Conclusion: The importance of middleware and modeling is discussed and simulation shows the performance of the proposed model for handling vehicle safety issues.