Artificial intelligence is one of the phrases we hear a lot these days. The progress of artificial intelligence has created many innovations not only in the field of technology but also in various fields and industries.
Artificial intelligence has helped us to solve many complex problems easier and make life easier for ourselves and others.
One of the areas that experts have decided to use artificial intelligence to solve their own problems is traffic control. The expansion of urbanization and the increase in the population of cities has made traffic control and traffic more difficult.
If you have been traveling in big cities, you are likely to get stuck in the road during the hours when there is a lot of traffic, minutes or even hours.
In the past decades, the speed of increased streets and highways has been laid down from the increase in the number of vehicles and the volume of traffic.
Therefore, some have been thinking of using artificial intelligence to solve this problem. In this article, we examine the use of artificial intelligence in traffic control and urban planning.
One of the main uses of artificial intelligence in traffic control and urban planning is its use to control cars on the road.
Intelligent Traffic Management System (ITMS) has been replaced by urban and road traffic control strategies for some time now.
These systems analyze them by collecting data on the number of cars, the volume and pattern of traffic and storage in the cloud, and help the police control traffic lights.
In this system, high quality CCTV cameras are used to collect road images and data. In addition, the cameras can register the license plate number of the offshore drivers, automatically issue the penalties to the violation, and send them to the offenders’ mailing address.
Performing this process automatically saves a lot of power and cost for the traffic police, and they can do more important things instead of doing these boring and repetitive things.
Smart traffic management systems are used to reduce human interference in traffic control as much as possible. As human intervention decreases, the possibility of error is greatly reduced.
In the past, police had to deploy officers in the intersection to control traffic, manage traffic lights and monitor traffic. But now with the use of artificial intelligence, the presence of these agents is no longer required.
In addition, by connecting the city -wide traffic displays to the intelligent traffic management system, this information can be shown live and moment to citizens. This helps drivers a lot in choosing a low -traffic path.
These systems, using map service, quality cameras and different sensors and communicating between them, analyze a large amount of information at any moment and help the police decide.
But artificial intelligence is not only used on the roads for traffic control. Making cars was one of the great aspirations of mankind that is now, thanks to technology and, of course, artificial intelligence.
Although these cars are still in the early stages of production, it will not be long before the advancement of technology will make these cars available to everyone.
These cars have an artificial intelligence -based central control system that stores information inside and around the car in clouds using outside and in -car cameras and powerful sensors.
Then, by analyzing this information at the moment, it is capable of speeding up or slowing the vehicle due to the volume of traffic and by receiving traffic data to choose the best route to reach the destination.
This can help the driver from accidents that are one of the causes of heavy traffic. The exchange of information between the car and the traffic management systems causes the city -level coordination and greatly reduces traffic volume.
Public transport systems move thousands every day on different routes. The use of public transportation reduces the use of personal cars, which plays an important role in reducing the road.
Using artificial intelligence in the public transport system, the time and time between the movement of subway trains and buses can be intelligently adjusted.
The public transportation system can adjust the public transportation program in a way that can be available in crowded routes and busy hours by exchange of information with the intelligent traffic management system.
In addition, the intelligent traffic management system can predict the days when traffic is likely to increase traffic in specific routes or cities (for example, holidays) and prepare the public transport system for this increase in traffic.
You may ask yourself why these systems are not used everywhere despite the different benefits of using artificial intelligence.
In response to this question, we can say that there are different challenges in the direction of using artificial intelligence to control traffic.
One of those challenges is the need for new hardware, installation and changing the entire traffic network to adapt to them. This requires a lot of costs that many cities cannot afford.
Another major challenge is the process of learning artificial intelligence. Artificial intelligence takes a short time to learn and match data, which may make different mistakes at the beginning of use.
This has made some city managers hesitant to use this system.
