Intelligent Pervasive Middleware for Context-Aware Vehicle Services

Abstract

Transportation of goods and people plays a vital role in the lives of everyone and in virtually all businesses on earth accordingly the demand on our overburdened transportation system is increasing every day . The traffic congestion multiplies the effects of individual variations in driving performance as determined by physical abilities, knowledge, experience and, indeed, personality. We lose control over our plans and schedules; we rush because we're late; we cause accidents through recklessness and bad temper...In other hand The Intelligent Car initiative is an attempt to move towards a new paradigm, one where cars dont crash anymore, and traffic congestion is drastically reduced, Intelligent systems can support drivers to avoid accidents, optimise engine performance, reduce travel times, enhance efficiency and confort, increase productivity, improve road safety, raise management perfomance ...For intelligent transportation systems to reach their true potential we need an environment in which innovative and flexible services can be developed and delivered cost- effectively, to drivers and vehicles.Today building context-aware services is a complex and time consuming task. We present a Vehicle Context-Aware Service Framework architecture for the building and rapid prototyping of context aware vehicle services.We propose a simple and dynamique data-model which supports context acquiring and processing, semantic representing, context reasoning and cooperating sensing( sharing knowledge, resolving sensors conflicts...).The Vehicle Context-Aware Service Framework objective is to support vehicles users with personalized services. Our framework offers mechanisms to deliver vehicle diagnostic and maintenance services, Location and time Based Services, and also it suggests other services based on context-aware information, It provides them in a personalized and an adaptive manner to the user.