Investigating the effects of geographics climate on the characteristics of statistical data and driving cycle

The importance of the effect of geographic climate on the performance parameters of cars requires comprehensive studies and research in this field, especially in Iran, where the diversity of climatic conditions is clearly evident. The factor scores of each of the influential components in determining the climate divide Iran into four climatic categories, which are: (1) dry, (2) humid with heavy rainfall, (3) semi-humid, semi-dry and (4) humid with little rainfall. Therefore, in this research, the effect of geographic climate on the characteristics of statistical data and driving cycle has been investigated. For this purpose, four cities of Arak (semi-arid to semi-humid), Tehran (dry), Ahvaz (humid with low rainfall) and Rasht (humid with high rainfall) were selected as representatives of their climate. Then, by reducing the dimensions of the data from 12 to 2 statistical data characteristics, using PCA analysis, and then by clustering the data using the chemical mean method, and extracting the driving cycles of each city under different climatic conditions, the effect of the geographic climate on the characteristics of the statistical data and the driving cycles of the case was investigated, and also the data of the city of Rasht on rainy and non-rainy days were separated and analyzed, and in the results of the investigations, it was observed that climatic conditions can have significant effects on the average driving speed (about 21 percent), travel time ( about 18 percent) as well as average travel speed (about 22 percent) and car stopping percentage (about 84.4 percent). As a result, it can be said that geographical climate is one of the most influential factors on driving cycles.