A rapid method for evaluating the variables affecting traffic flow in a touristic road, Iran

摘要: This study aimed to evaluate variables that influence traffic flow and its contribution touristic transportation in a road, Iran. The data were extracted from the hour-by-hour 2018 local control center addition three daily indices, including climatic comfort indicator, temperature inversion temporal indicator of calendar events, which obtained databases equations. time series arranged into diurnal, weekly, monthly scales apply correlation tests. Results revealed rate 18–25% total (about 3,500,000–5,000,000 vehicles 19,828,619 vehicles) was assumed as portion area. relationships between independent exposed effective considerable role climate on at above 98% confidence level, without strong association effect flow. Statistical results all cycles significant positive negative effects index flow, respectively. finding this described area are more affected by but less holidays occasional vacations. Hence, decision-makers sternly need fundamental for management, tourism transportation, instead current calendar.