A Mobile Computing Based Tool for Low-Emission Driving

Abstract

Recent advances in communications and mobile computing boosted the green mobility. Mobile Computing is the ability to provide computing technology in mobile environments while Green mobility aims to reduce vehicle emissions. The paper introduces a tool consisting of a mobile application and an information system that aims to collect and analyse the user's driving style, with a specific focus on emission reduction. To achieve that, relevant user information such as accelerometer, gyroscope, location and on-board diagnostics data are being collected transparently and continuously for the sake of developing the driving assistance tool for low-emission driving. Based on the collected information and a scoring algorithm, the user's driving style is analysed in real time and transcribed in a score. The proposed tool provides recommendations to the drivers when the score is bad and aggregated data to the authorities. The tool offers straightforward recommendations, while the driver is on the way, that can lead to prevention of high-emission driving styles by providing immediate corrective actions. As opposed to that, the information system stores and analyses the driving data that have been gathered to generate a post-driving dashboard for the authorities to monitor overall the driving behaviour and vehicle emissions. The tool has been tested thoroughly and the results indicate a robust performance.