The behavioral patterns of identifying with driving wheels

• Main Authors: Huan-Wei Lin, 林煥為
• Other Authors: 姚修慎
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/11333520631560887502

碩士 === 元智大學 === 資訊工程學系 === 97 === This research is mainly to build the system of identifying with driving wheels, and to analyze and identify the data which were collected by the traffic recorder. Since the quantity of the information is huge, so we use Data Warehouse to centralize and clear-up the information, then store the most optimal adjusted information. Following, we used algorithm to calculate the information to find the characteristics. Then use them to build a system and apply then into the driving behaviors. This research primarily discussed the behavior of driving wheels through this system. Then separating the behavior into the “driving movement” and the “driving characteristics”. The driving movements represents the common wheeling behaviors, and the driving characteristics are defined as more dangerous wheeling behavior. Last, we use the rate of comfortable wheeling to measure that whether the single journey will make the passenger uncomfortable when processing the relative wheeling behavior. The result of the research shows that the system that being developed by this research has the acceptable accuracy of identifying the common wheeling behavior and dangerous wheeling behavior. In measuring the rate of comfortable wheeling, we could analyze both buses and cars, and also analyze the driving habits of the drivers. This part could become an objective data that assists owners judging the drivers.