CONTROL OF TRANSPORT FLOW AT INTERSECTIONS WITH THE HELP OF ARTIFICIAL INTELLECT

At a time when modern cars are entering and being produced in our country, the increase in traffic flow in our big cities, which is the increase in traffic jams, is the main problem. It is very important to reduce and control traffic jams in cargo and passenger transportation. According to forecasts, the population of our country will increase by 50 million by 2050, which will cause the number of motor vehicles to increase by 1.5-2 times. This article envisages the introduction of innovative transport systems used to control the movement of city and intercity vehicles, thereby saving time and reducing fuel and energy consumption. In this system, it is possible to predict the volume and flow of vehicles by collecting and analyzing data from previous years. The received information is used to control the traffic of vehicles and the timing of traffic lights. Determines the improvement of traffic efficiency and ensuring safe traffic through the use of the Traffic Management System.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-20
DOI
https://doi.org/10.5281/zenodo.14533295
Primary Topic
Transportation Systems and Logistics
Type
article
Field-Weighted Citation Impact
0.00
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article

CONTROL OF TRANSPORT FLOW AT INTERSECTIONS WITH THE HELP OF ARTIFICIAL INTELLECT

Zenodo (CERN European Organization for Nuclear Research)
Transportation Systems and Logistics
article

CONTROL OF TRANSPORT FLOW AT INTERSECTIONS WITH THE HELP OF ARTIFICIAL INTELLECT

article en

Abstract

At a time when modern cars are entering and being produced in our country, the increase in traffic flow in our big cities, which is the increase in traffic jams, is the main problem. It is very important to reduce and control traffic jams in cargo and passenger transportation. According to forecasts, the population of our country will increase by 50 million by 2050, which will cause the number of motor vehicles to increase by 1.5-2 times. This article envisages the introduction of innovative transport systems used to control the movement of city and intercity vehicles, thereby saving time and reducing fuel and energy consumption. In this system, it is possible to predict the volume and flow of vehicles by collecting and analyzing data from previous years. The received information is used to control the traffic of vehicles and the timing of traffic lights. Determines the improvement of traffic efficiency and ensuring safe traffic through the use of the Traffic Management System.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 59%
Transportation Systems and Logistics
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