In recent holidays, people’s road trips have grown significantly, and as usual, the roads in the north are filled with cars and passengers.
According to the informants, based on the data of the intelligent transportation systems of the country’s Roads Management Center, an average of 2,455,987 vehicles traveled during the Eid al-Adha holiday (from July 24 to 28). The various transport hubs opened on Wednesday and are on an upward trend.
This traffic volume increased by 36% compared to the same period in the previous year and by 51% and 2% compared to the same period in 2019 and 2018, respectively.
Also, based on license plate information recorded by license plate reader cameras, about 3,220,800 license plates from different counties were discovered in suburban areas last day (July 25), of which about 2,990,000 were discovered. 800 license plates associated with personal vehicles. Statistics show that more than 800,000 unique license plates belong to the provinces of Tehran and Alborz, followed by the provinces of Mazandaran, Fars, Razavi Khorasan, Isfahan and Gilan with the largest number of license plates observed on the country’s roads.
The car unloading and storage map for July 24-25 shows that Tehran and Alborz are at the top of the provinces with the most car production or unloading. 215,000 cars from these two provinces were removed from entering these two provinces. Also, Mazandaran Province experienced the highest traffic density after Gilan, Arak and Zanjan, which means that most of the people’s travel destinations were during past vacations.
Also, these days, the movement of various vehicles (total vehicle entry and exit) in the provinces of Gilan, Mazandaran, Qom, Qazvin and Yazd recorded the highest growth rate of 77, 75, 72, 64 and 63%, respectively. Show last year’s income in a row.
The largest increase in vehicular traffic was observed yesterday (Thursday, 25 July) on the Chilas, Harge, Firouzkoh and Quazvin-Rasht highways on the South-North highway, which increased by 173, 145, 122 and 237 percent, respectively, compared to the same period before. Average. Previous year experience
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