Optimization of transport systems
Posted: Sun Dec 22, 2024 9:58 am
Modern AI-based solutions used in urban planning allow assessing the potential of land plots, taking into account environmental and social factors, and predicting the impact of future projects on the urban environment. Urbanist AI, for example, complements a photograph of an object to see how changes will affect the appearance of the city. The tool is applicable in the work of municipalities.
Modern roads are equipped with a large number of sensors, cameras and other means of automated traffic saudi arabia phone number management systems (ATMS). AI receives data from them (traffic speed, traffic density, number of accidents, etc.), analyzes them, predicts and adjusts traffic flows.
With the help of dynamic modeling, the “digital mind” can predict changes in traffic and offer optimal routes for drivers. In Los Angeles, for example, a system was developed that identifies the most congested sections of roads in real time and adjusts the operation of traffic lights to optimize traffic. The result: a 20% reduction in traffic jams and a 15% reduction in accidents. In Toronto, Canada, they are also using AI developments to optimize city traffic — Alphabet Sidewalk Labs.
Artificial intelligence helps optimize public transport. By analyzing passenger flow and traffic data, it can offer more efficient routes and schedules. AI also helps improve the comfort of transportation. In St. Petersburg, for example, trams operate with the Cognitive Pilot system, which monitors safety from surrounding interference and monitors the driver's physical condition. The vehicle moves smoothly, without sudden acceleration and braking.
Moscow and other major cities are implementing systems that use AI to monitor traffic conditions, analyze driver behavior, and predict potential dangerous situations. This helps reduce accidents: according to estimates from the Institute of Transport Economics and Transport Policy at the National Research University Higher School of Economics, the number of accidents in 2021 was halved thanks to speed cameras. The use of safety systems in the capital, such as the Antison driver monitoring system, reduced the number of accidents involving urban passenger transport by a quarter in 2020.
Artificial intelligence has also been implemented in the automated traffic management systems on Russian highways. It helps to effectively manage traffic lights, record accidents, and traffic violations. On the Central Ring Road (A113), the system continuously analyzes data coming from weather stations and video surveillance systems, and automatically identifies any traffic incidents: accidents, vehicle stops in the wrong place, foreign objects or pedestrians getting onto the roadway.
Modern roads are equipped with a large number of sensors, cameras and other means of automated traffic saudi arabia phone number management systems (ATMS). AI receives data from them (traffic speed, traffic density, number of accidents, etc.), analyzes them, predicts and adjusts traffic flows.
With the help of dynamic modeling, the “digital mind” can predict changes in traffic and offer optimal routes for drivers. In Los Angeles, for example, a system was developed that identifies the most congested sections of roads in real time and adjusts the operation of traffic lights to optimize traffic. The result: a 20% reduction in traffic jams and a 15% reduction in accidents. In Toronto, Canada, they are also using AI developments to optimize city traffic — Alphabet Sidewalk Labs.
Artificial intelligence helps optimize public transport. By analyzing passenger flow and traffic data, it can offer more efficient routes and schedules. AI also helps improve the comfort of transportation. In St. Petersburg, for example, trams operate with the Cognitive Pilot system, which monitors safety from surrounding interference and monitors the driver's physical condition. The vehicle moves smoothly, without sudden acceleration and braking.
Moscow and other major cities are implementing systems that use AI to monitor traffic conditions, analyze driver behavior, and predict potential dangerous situations. This helps reduce accidents: according to estimates from the Institute of Transport Economics and Transport Policy at the National Research University Higher School of Economics, the number of accidents in 2021 was halved thanks to speed cameras. The use of safety systems in the capital, such as the Antison driver monitoring system, reduced the number of accidents involving urban passenger transport by a quarter in 2020.
Artificial intelligence has also been implemented in the automated traffic management systems on Russian highways. It helps to effectively manage traffic lights, record accidents, and traffic violations. On the Central Ring Road (A113), the system continuously analyzes data coming from weather stations and video surveillance systems, and automatically identifies any traffic incidents: accidents, vehicle stops in the wrong place, foreign objects or pedestrians getting onto the roadway.