The Establishment and Analysis of the Risk Event Assessment System in Urban Traffic Environment

Abstract

Urban traffic accidents are on the rise worldwide. In order to reduce the incidence rate of dangerous traffic events on road, it is important to train drivers using appropriate traffic scenarios. The objective of this paper is to develop the categories of hazardous traffic events that can be used to construct the simulated hazardous traffic scenarios. A survey questionnaire on drivers' perceptions of hazardous traffic events is distributed to 340 randomly selected drivers. It collects information on the drivers' perceptions of hazardous traffic events' frequency of happening degree of damage and drivers' stress levels triggered by such events. The survey responses are analyzed using fuzzy mathematics methods. Each hazardous traffic event includes the contributing factors of motor vehicles, non-motor vehicles, or pedestrians. The findings from this paper can be used to develop hazardous traffic scenarios to train drives and to provide theoretical basis for further developing and refining active risk avoidance systems.

Keywords

• Accident prevention
• road accidents
• road transportation
• stress degree
• fuzzy mathematics
• simulation training