Currently there is extensive research and investment in safety technologies, such as Advanced Driver Assistance Systems (\gls{adas}) for enabling road vehicles to become intelligent and safer, thus making them detect and prevent possible accidents, assist the driver in changing lanes efficiently and making more accurate turns. Almost every automotive company is researching and developing autonomous vehicles. This huge amount of investment in terms of money and efforts might soon make self-driving vehicles a reality and consumers might start seeing autonomous and non-autonomous vehicles running together on the road. Along with the functional benefits of these autonomous vehicles, some new risks are also introduced into the vehicle and road safety. The \gls{iso} 26262 standard deals with the functional safety of the Electric and Electronic (\gls{ene}) components of a road vehicle. As of now, there is no such standard that directly applies to the functional safety of autonomous vehicles and hence, many researchers have tried to use this \gls{iso} 26262 standard as a guideline for developing software/hardware models for making autonomous vehicles compatible to the functional safety standards. This thesis conducts a survey of techniques used by different authors in order to develop architectural models for \gls{ene} components of vehicles that comply with functional safety standards and can be integrated in autonomous vehicles. This thesis uses the knowledge gathered from the survey to design a method to incorporate functional safety concept into the Intelligent Transportation System (\gls{its}) project that has been developed by UNC Charlotte.
