Abstract

Here, the pedestrian lower extremity injury risk was studied using the real world accident data. For this purpose, 354 cases with pedestrian lower extremity injuries selected from the german in-depth accident study(GIDAS) database were used to conduct the one-way variance analysis to determine the effects of impact speed, pedestrian age, height and weight on the pedestrian serious lower extremity injuries risk. Then, the pedestrian serious lower extremity injury risk model was established. The results showed that the impact speed and pedestrian age are significant factors affecting pedestrian lower extremity serious injuries, but the pedestrian weight and height are not; the risk of injury is positively related to impact speed and pedestrian age; the pedestrian serious lower extremity injury risk reaches 50% when the impact speed is 43 km/h.

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