Sustainable context-aware programming for automative applications

Abstract

The content of a vehicle consists mainly of mechanical and electronic components. However software becomes an increasingly important part of future vehicles. The software side of Intelligent Transport Systems (ITS) is part of the international road safety strategy to improve the mobility, comfort and safety of road users. Road crashes cost Australia $15 billion a year and 95% of these crashes are attributed to driver error. ITS and driver assistance systems could reduce driver error by augmenting the awareness of relevant safety-critical contextual information. Such a context-aware system is difficult to program due to the incompletness and complexity of the information from the environment. This paper outlines research issues that need to be addressed to deploy sustainable context-aware software for vehicles. A solution to improve the productivity of context-aware systems by using a new Context Oriented Programming (COP) paradigms is suggested. COP is then used to build a driver assistance system that takes into account driver’s cognitive workload.