Abstract:

In order to obtain the characteristic variables and extract typical danger scenarios in electric two-wheeler and pedestrian collision accidents, 273 cases of electric two-wheeler and pedestrian collision cases with video information were collected from the Internet. Furthermore, 13 accidents characterization variables, such as collision speed, collision angle, pedestrian's first collision point, and pedestrian's first touchdown site were analyzed via using descriptive statistical methods. K-modes method was then used to obtain the typical scenarios by conducting cluster analysis for the 13 characteristic variables. The results show that the driving speed of electric two-wheeler is generally lower than 30 km/h and the collision position mostly concentrates in the front area of electric two-wheeler. Electric two-wheeler and pedestrian collision accident scenarios can be divided into five typical scenarios: vertical collision scenario, nighttime same-direction collision scenario, same-direction side-impact scenarios, nighttime collision scenario of riders with helmets and opposite-direction collision scenario. This study can provide a reference for the study of pedestrian safety countermeasures and safety test scenarios in electric two-wheeler-pedestrian collisions.

Key words: electric two-wheeler, pedestrian, collision accident, statistic analysis, K-modes cluster