| Summary: | 碩士 === 國立成功大學 === 機械工程學系碩博士班 === 100 === Taiwan is an island terrain with high population density. In addition, population is mostly concentrated in the city, causing the city with heavy traffic. For conveniences, the scooter became the main commuting vehicle for the people of Taiwan and this phenomenon is resulting in the unique culture of the traffic in Taiwan. But at the same time pedestrians and scooters accidents often occur on city roads in Taiwan. According to research statistics, lower limbs are the most commonly injured human body region in motorcycle or scooter accidents. Bone fractures, ligament and tendon strain in knee and ankle are among these injury mechanisms. These injuries are usually nonfatal, but it needs to take a lengthy recovery time and has to spend a lot of medical expenses. Therefore, the seriousness can’t be ignored.
In automobile industry, crash test dummies are commonly used as a tool to measure human injuries due to collision for years and mandated in many countries. Therefore, crash test dummies are reliable in replicating responses and assessing injuries for the human. In this study, an adapted dummy sub-system injury assessment method based on the regulation of EEVC (European Enhanced Vehicle-Safety Committee) is proposed to simulate and evaluate the injuries of pedestrians’ and scooter riders’ lower limb. Furthermore, the study is classified into a variety of crash environments in order to understand the human lower limb injury in various scooter accident situations.
Due to the shape and structure, the protection devices used in scooters are less than automobiles. Also, they are generally rarely installed because of the low cost of the scooter. To avoid the pedestrian lower limb injury from the motorcycle crash, there is no protective devices can be provided currently. In this study, a prototype device which can be used in front of the scooter to protect the pedestrian lower limb is proposed. Based on the Taguchi method, the parameter level configuration is adjusted and each control factor for pedestrian lower limb injuries is analyzed. Through the analysis of the simulation results, the optimal factor level is configured to obtain the best protective device combination. Finally, the protection device can effectively reduce pedestrian lower limb injuries according to the outcome resulting from the simulation.
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