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Real-time traffic data from a variety of cameras and IoT devices, including cars, buses, and even trains, is analysed by AI. It recognises patterns in the provided data, lowers the likelihood of accidents and safety hazards, and regulates traffic light systems.
In order to analyse real-time data from several forms of transportation, including vehicles, buses, and trains, AI is utilised in road traffic management. The AI examines this data for trends that might point to security vulnerabilities.
In order to find and identify vehicles that are breaching traffic laws and to provide real-time notifications to the Central Command Center, an Intelligent Traffic Management System (ITMS) integrates artificial intelligence with cameras placed at traffic intersections.
AI is already assisting the managers (airlines/airports managers, air traffic management) and operators (pilots, air traffic controllers, airport operators, and flow controllers) of a wide range of aviation and air traffic system applications.
Adapting traffic light controls based on data gathered from sensors, edge devices, and video systems is the function of a smart traffic light, which is an internet-connected vehicle traffic control system.
The two main categories of artificial intelligence are narrow (or weak) AI and general AI, commonly referred to as AGI or strong AI. A third type, conscious AI, has recently been introduced.
The Global Mobile AI traffic System market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Osho Automation Private Limited’s goal, according to the special commissioner of police, is to send automatically created challans to violators and automatically detect traffic offences in a contactless manner. The ITMS uses AI and ML to automatically identify traffic infractions.
In the city, 30 significant traffic intersections now use the ITMS. The cameras won’t catch situations of drivers exceeding the speed limit, running red lights, or using the wrong lane for a turn, as well as infractions like driving without a helmet, triple-riding, or using a phone while driving.
With 250 automatic number plate recognition cameras and 80 red light violation detection cameras installed at 50 junctions, the system includes an AI-enabled solution.
These cameras, which are operational 24 hours a day, are anticipated to save a significant amount of staff, which may be redeployed for traffic control and regulation and better public service.
The information gathered will be kept on a server that belongs to the traffic police. The team wants to track stolen cars and vehicles without licence plates in the future.
