| With the continuous improvement of people’s living standards in the moment, the demand for cars rapid growth, buy a car, people no longer want to take away the means of transport for a cold, but want to choose an escort Road housekeeper."The urgent need for a change to the movies enviable cool scene becomes a part of life around at your fingertips, make the car more convenient and comfortable life. The arena of the major car brands from the previous fight shape, fight space, fight engine "to fight" smart". Automotive intelligent has become a revolutionary trend in automotive technology, the future of the major auto companies to win one of the most important pillar of the global market, the global automotive industry is entering a change of a new era. MTS (Motor Vehicle terrain optional driver assistance systems) is the current SUV, the more popular driver-assistance systems, intelligent transformation of become a hot spot.MTS (automotive Multi-terrain optional driver assistance systems) as the mainstream SUV, auxiliary systems, intelligent research still faces many challenges. On the basis of summing up the results of previous studies based on the ARM11processor and embedded LINUX operating system (ARM11processor cost-effective, open source LINUX operating system, high efficiency, requiring low operating environment, development of low cost) has developed a vehicle terrain optional auxiliary systems, and will be used for classification of data mining technology into the auxiliary driving system (used in this paper is the improved SVM decision tree algorithm in parallel), greatly improving the ability to identify traffic information system.In this paper, on the traditional SVM decision tree algorithm improved SVM decision tree algorithms, parallel improved SVM decision tree three classification algorithms for comparative analysis shows that, based on the higher classification accuracy of the parallel improved SVM decision tree algorithm, time consuming and relatively low. |
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