Intelligent Transportation System: Application of Telematics Data for Road Safety

Abstract

Road safety is a growing concern as the number of vehicles on road increase yearly. Road related accidents is within the top ten cause of death globally and number one cause of death for youth between the ages of 19-29 years old. With the growth of "Internet of Things"and artificial intelligence, there is a huge potential of using smart technologies to support the Intelligence Transportation System (ITS) framework through the usage of smartphone telematics devices. The aim of this study is two folds. The first is to investigate the usage of feedback to drivers through push notifications on app that will monitor the driving of each participant. The second is to propose a telematics derived Usage Based Insurance (UBI) framework. For the first objective, 60 participants took part in the approved intervention study where each participant had to install an app called SafeDriver that monitors their driving for 12 weeks. It was found that the app had made some positive changes to the driving behavior and from an exit survey, many participants were happy with this app and are willing to use it if some financial incentives were provides such as reduced vehicle insurance premiums. For the UBI, after closely examining the literature, a conceptual model was pro-posed. In summary, telematics coupled with artificial intelligence (data mining) hold a promising future in promoting a more improved road safety