Estimating traffic capacity on highways in the country under different weather conditions

Rainfall is one of the important factors that affects road capacity and reduces driver visibility, increases slippage, and reduces driving speed. Geometric characteristics include the number of lanes, lane widths, curbs, and ramp curves. These characteristics are examined because of their relationship to road capacity. A statistical model is constructed and the relationship between geometric characteristics and ramp and freeway capacity is examined. This model is compared using HCM. Finally, suggestions for amending the regulations are presented. SPSS statistical software is used to design a nonlinear regression model. This study analyzes daily and monthly traffic patterns and examines their correlation with weather conditions. The average daily traffic volume graph shows that the highest traffic volume is observed on Friday and the lowest on Tuesday. Also, Saturday is the second busiest day of the week. Weekdays (Saturday to Wednesday) have less variation in traffic volume, while Thursday has relatively less traffic volume than other weekdays. The increasing pattern of traffic volume from midweek to the end of the week (Friday) indicates that weekends have a significant impact on increasing traffic volume, which could be due to leisure trips or returning to the city at the end of the holidays. This analysis helps in better planning for traffic management on Fridays and Saturdays. These results can help in better understanding traffic patterns and their management in the face of changing weather conditions.