May 25, 2022

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How Can AI Help With Smart Traffic Management?

5 min read
Smart Traffic Management

Smart Traffic Management

The city and the authorities require a modern solution to manage traffic. It will allow authorities to detect the problems and give them the ability to review the violations before they are transmitted to the ticket-generating system. Combining technologies like computer vision and artificial intelligence (AI) makes it possible to enforce traffic laws cost-effectively across the city.

Smart Traffic Management System Using AI

It’s vital to understand the reasons for AI and its significance in traffic management before we move on. AI is one type of technology that you can employ to manage traffic. This management system makes it easy to manage traffic. With the data provided, one can follow up on routes. Advanced AI-based systems can avoid dangerous routes due to the increased use of transportation data and insights, and you can do all of this faster and easier with the help of Smart Traffic Management Systems (STM) and AI techniques. This is a benefit and an advantage over other technologies regarding return on investment.

The AI System’s Main Objective is to:

  • Safety improvements
  • Optimize your energy performance
  • Reduce unfavorable environment
  • Improve the transportation proficiency
  • Reduce congestion

Smart Transportation is something we all know, and AI techniques are now an integral part. AI in traffic monitoring, for example, helps to place radar on multiple vehicles, which can help reduce traffic crashes. AI is an essential tool in traffic monitoring because it can reduce accidents and improve safety. Things will run more efficiently when you use advanced AI and modern AI techniques to handle the traffic. You can get trained in such advanced techniques by learning from Great Learning’s first-class AI and machine learning course, where it will help you understand how to use the information and find solutions accordingly.

How Can AI Reduce Traffic Congestion?

There are many ways to learn how AI can reduce congestion. It is essential to understand that artificial intelligence can keep track of all vehicles using available data. Let’s say one vehicle is moving further with the tracking device [1] on their gadget. If the road is congested or blocked, the device will alert the driver. However, the person will still see the alternative route using the same AI system.

It is also an excellent tool for travelers, as it acts as an AI guide. It is possible to save time and get to the destination faster. If a person sees congestion, they may be inclined to change their path. Therefore, it is possible to reduce congestion. Let’s say that everyone has been provided with an alternate route. It would allow congestion to be divided into multiple routes, reducing congestion on the block.

AI Could Eliminate Traffic Jams

Google maps and other apps are fantastic for managing traffic. You can also use a map to show alternative routes and reduce congestion. As we live in an ever-changing online world, everything has gone digital. These ML apps for traffic management are the cherry on top. People will be able to travel more quickly and save time. Sometimes, they can even avoid traffic by traveling a long distance or to a farther area.

Leading AI development firms have developed AI-based traffic monitoring systems to improve traffic analytics at various junctions. Some AI models can detect vehicle type and category at all times of the day and night, and it even works during rainy days. They also detect vehicle number plates and automatically detect the vehicle number from these plates. Software solutions can also identify vehicle types and categories and the number of vehicles arriving or departing from different directions. 

ITMS

ITMS [2] (Intelligence Traffic Management System) is an AI-based application that uses cameras at traffic junctions to detect and locate vehicles not following traffic rules and send real-time alerts to the police. ITMS can now automatically fine violators according to regulation and send e-challans electronically to the violators. 

Supporting evidence records, such as photos and videos, may be included with every e-challan. Artificial Intelligence (AI) and Intelligent Traffic Management System (ITMS) are two ways to help address many problems. These include roads, bridges, underpasses, and alternative modes of mass public transport systems. Enhancing road traffic discipline can make commuters’ lives easier, more convenient, and safer.

ATCS

Based on data from ITMS cameras, ATCS (Adaptive Traffic Control System) will regulate traffic signals in real-time to adapt to changing traffic conditions. It is partially in place, and ATCS will almost cut down the waiting time at traffic indicator lights by half once fully operational. It will also help metropolis traffic officials to understand ground conditions and traffic trends in the city. They can use it to assist them with various services, including making flyover plans and deploying more personnel to trouble spots.

Traffic Law Enforcement and IP Cameras

ITMS software suite uses advanced Artificial Intelligence and Machine Learning techniques to add intelligence to standard IP cameras. This software can detect multiple violations and generate alerts. Data visualization layers allow traffic authorities to see ground conditions and trends in the city and help them plan and take preventive actions.

The camera feed is sent to local processing stations, where powerful Deep learning algorithms, AI models, and Video processing software process raw frames to understand the scene. The back-end server receives information about infractions from all cities and junctions, consolidating it. Authorities can add additional cameras to a variety of locations, and they can also start with one application (violation detection) and add more capabilities later.

The traffic management and enforcement system usually includes several detections, such as:

  1. Automated Number Plate Reading
  2. Triple Riding & No Helmet Detection
  3. Red Light Violation Detection
  4. Wrong-Way Driving
  5. Speed Violation Detection
  6. Obstruction of Left Turns Free

Conclusion

It is not easy to achieve complete traffic management by relying only on human efforts. AI and ML have significantly helped to solve traffic problems in multiple cities. AI algorithms reduce the time and effort required to analyze data and numbers. They also eliminate the possibility of making mistakes. Machine learning and smart traffic monitoring can be conducive, especially in modern Transportation. Advanced technology can make Transportation much easier and faster than anyone could have imagined. You can learn in-depth about how AI can help find solutions by signing up for Great Learning’s AI certificate programs. Great Learning offers world-class AI courses which can help you understand these concepts better.

Ref 1 – https://en.wikipedia.org/wiki/Vehicle_tracking_system

Ref 2 – https://en.wikipedia.org/wiki/Intelligent_maintenance_system