2017/01/01 by Attila Glász, János Juhász · 1 citation
Engineering · #Transportation Systems and Logistics #Autonomous Vehicle Technology and Safety #IoT and GPS-based Vehicle Safety Systems
paper · pdf · doi:10.1016/j.trpro.2017.05.085
openalex publication_date 2017/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/03
This study is connected to the PROSPECT project (PROactive Safety for PEdestrians and CyclisTs) that has a goal of developing a proactive on-board-system to cars. This system will more effectively identify and manage the incidents with VRUs (Vulnerable Road User) compared to those that are currently on the market. One of the first steps of our task is to define with statistical examination the main causes and circumstances which lead to car-pedestrian and car-cyclist accidents in Hungary. The basis of the accident research was a database about raw accident data (in chart form) provided by the Hungarian Central Statistical Office (KSH). This data was then systematized by a data managing system, and after the relevant queries, we processed it. This paper presents the results of this investigation which will be used to improve the software and hardware of the on-board-system.