Foresight Study of IoT Technology in Preventing Road Crash: A Case of Car Alcohol Detector

Alcohol detector in car is the application of IoT technology that senses alcohol level consumed by the driver’s breath and prevents them from driving. Road crash that caused by drunk driver recorded the number of deaths increase and it is uncontrollable and continuously happened. The aim of this study is to identify the key drivers and determine the futures implication wheel of road crash prevention by the implementation of alcohol detector installation in car. The STEEPV analysis is used to identify key drivers and for questionnaires development. A total of 223 respondents from Klang Valley participated in the survey with a response rate of 58.07%. Based on impact-uncertainty analysis, the top two drivers are “save human lives” and “safety feature increase car safety.” The implications of saving human lives are reducing the number of deaths, improving market needs, avoiding traffic congestion, and increasing the value of human life. Whereas the implications of safety feature that increasing car safety are that it increases production activity of new car, preventing road crash, increasing car cost as well as business capabilities. Overall, this study is important for future researchers and the automotive industry by contributing a significant idea for future needs technology in car.