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Application of rail systems using artificial intelligence in industries

The railway system with artificial intelligence is a kind of intelligent system to improve the performance of rail transportation. This system uses advanced neural network technologies and machine learning algorithms to improve rail traffic by analyzing high-speed data. The system uses cameras, sensors, and internet-connected devices to collect information about the size and weight of cargo, the speed and path of trains, and traffic down the road. After collecting the data, the system determines the optimal route of the trains using machine learning algorithms. This system reduces costs, increases speed and reduces the number of rail accidents.

Features of smart rails

  1. Data collection and analysis: Smart rail systems use high-speed data collection and analysis to improve system performance and optimization.
  2. Using artificial intelligence and machine learning: These systems use machine learning and artificial intelligence algorithms to determine the optimal route and improve performance.
  3. Cost reduction: By optimizing performance and reducing maintenance and repair costs, intelligent rail systems reduce operating costs.
  4. Increasing speed: By optimizing the route and using advanced technologies, intelligent rail systems help to increase the speed of trains and travel faster.
  5. Reducing accidents: By using advanced technologies such as sensors and devices connected to the Internet, intelligent rail systems can reduce accidents and increase the safety of train trips.
  6. Timing optimization: By using the collected data, intelligent rail systems can determine the optimal timing of train trips and provide more flexibility to rail systems.

The costs of the intelligent rail system

are highly dependent on the type of features that are used in these systems. These features can include data collection systems, sensors, internet connectivity, artificial intelligence and machine learning, data processing and electronic devices and control and management software. For complete intelligent rail systems, usually large costs are required. For example, installing data collection systems and control applications for artificial intelligence requires high investment and high costs. Costs associated with replacing parts or upgrading the system should also be considered.

How to maintain Maintenance of the intelligent rail system is one of the vital components for the correct and smooth operation of this system. To maintain the smart rail system, you should pay attention to the following:

  1. Checking and repairing the system: Data collection systems and sensors should be periodically checked and repaired. Also, control and management systems should be repaired periodically or as needed.
  2. Support and maintenance of hardware: The hardware of intelligent rail systems must be periodically checked and supported. This includes replacing damaged parts and repairing hardware problems.
  3. Improving the system: To improve the efficiency of the system, the necessary updates must be done continuously. This includes improving system performance, increasing the speed and accuracy of data collection, improving intelligent systems, and improving control and management software.
  4. System security: due to the high sensitivity and ability of the intelligent rail system, one must be sure of the security of the system. This includes updating security layers, protecting sensitive data and controlling access to the system.
  5. Personnel training: The relevant personnel must be familiar with the intelligent rail systems and must pay attention to the necessary training for using the system and decoding errors.

A final point about the smart rail system

The final point about the intelligent rail system is that this system, having intelligent capabilities and complete control over rail traffic, can improve transportation performance and reduce delay time, increase speed, optimize distribution and use of energy. , help reduce traffic and costs paid by passengers. In addition, the smart rail system can help the health of people and the environment by reducing air pollution and increase the competitiveness of cities from an economic point of view. Therefore, this system is one of the most important prospects in the field of transportation and urban infrastructure.

History Intelligent rail transportation systems have been used in many cities around the world. For example, in New York City, green design, smart technologies and sustainable architecture will be implemented in 2030 ¹. Also, intelligent rail transportation systems have been proposed in Iran.

Other intelligent transportation systems Intelligent Transportation Systems (ITS) are systems that use advanced technologies and communication technologies in transportation and traffic management systems to improve the safety, efficiency, and sustainability of transportation networks, reduce traffic congestion, and enhance driver experiences ¹²³⁴ .

ITS includes various tools, facilities and expertise such as information technology, software technology, hardware and telecommunications that are used to monitor, control, safety and improve the performance of the transport fleet.

How does ITS affect the environment? ITS, as an intelligent transportation system, can have various effects on the environment. Among these effects, we can mention the reduction of traffic and air pollution, reduction of fuel and energy consumption, improvement of transportation efficiency, reduction of traffic accidents, etc. ¹²³.

In general, ITS can help improve the quality of the environment, but it should be noted that some ITS systems may also increase traffic and air pollution.

How does ITS reduce fuel consumption? ITS, or intelligent traffic control and transportation systems, includes all information technologies, telecommunications, control, system engineering, as well as strategies, management decisions, and coordinating mechanisms, which, as a result of their application, improve transportation parameters. and transportation and traffic such as reducing travel time, fuel consumption and increasing safety

How does ITS reduce travel time? ITS stands for Intelligent Transportation Systems. These systems help to improve the efficiency, safety and comfort of transportation by using information and communication technologies. ITS can reduce travel time because it can provide drivers with accurate and up-to-date information about traffic conditions, alternative routes, transportation costs, and more. ITS can also help improve citizens' quality of life by reducing accidents, traffic caused by construction or repair work, air pollution, and fuel consumption.

In which countries has ITS been implemented?

ITS, or Intelligent Transportation Systems, is a set of information and communication technologies used to improve the efficiency, safety, and environment of transportation. ¹

ITS has been implemented in many countries of the world. Some examples of ITS are:

  • Satellite navigation systems (GPS) that help drivers find the right route and avoid traffic.
  • Automatic number plate recognition (ANPR) systems used to control traffic, pay tolls and enforce traffic laws.
  • Collision warning systems (CAS) that use sensors and radar to notify the driver of the risk of collision with cars or other obstacles.
  • Intelligent public transportation systems (ITS) that use technologies such as NFC, QR code, RFID, and the Internet of Things to help passengers buy tickets, reserve seats, find taxis, and access public transportation schedule and route information. they do.

ITS has been implemented in the following countries:

  • America
  • Canada
  • Japan
  • China
  • India
  • Singapore
  • Australia
  • Brazil
  • Germany
  • France
  • England
  • And ...

How does ITS coordinate with e-government systems? Intelligent Transportation System (ITS) is a system that improves the performance of the transportation system by using information and communication technology¹. To coordinate ITS with e-government systems, proper architecture and common standards are needed. Electronic government refers to the use of information technology to realize the policies of the administrative system. To provide e-services to citizens, businesses and organizations, Smart Government has launched a National Service Window⁴. This national window of services enables fast access, integrated authentication and privacy protection of users. Therefore, ITS can be coordinated with e-government systems using this national window of services.

How is the right architecture for ITS defined?

Intelligent Transportation System (ITS) architecture is a framework that defines the different components of ITS and how they are related. The appropriate architecture for ITS should be defined based on the needs, goals and directions of the transportation system. A suitable architecture for ITS should include three parts¹:

  • Components section: which shows which components exist in ITS and what tasks they perform. For example, components may include vehicles, drivers, traffic control systems, vehicle guidance systems, traffic information systems, etc.
  • Communication section: which shows how the components communicate with each other and with e-government data and services. For example, communications may include protocols, standards, frequencies, data transfer methods, etc.
  • Functions section: which shows how the components and their connections work together to implement specific ITS functions. For example, functions may include ITS applications such as traffic management, accident monitoring, advanced navigation, intelligent public transportation, intelligent parking, etc.

The ultimate view of intelligent transportation A summary about intelligent transportation systems with artificial intelligence

A summary of intelligent transportation systems with artificial intelligence is as follows:

Intelligent Transportation Systems (ITS) is a set of technologies that use information, communication, and electronics to help improve the efficiency, safety, and environment of transportation systems. Artificial intelligence (AI) is one of the important strategies for implementing ITS, which increases the capabilities of ITS with data analysis, automatic decision making and machine learning.

A summary of intelligent transportation systems with artificial intelligence is as follows:

In general, AI applications in ITS can be classified into the following three categories: Automated vehicles: These vehicles are able to drive without the need of a human driver by using sensors, actuators, control units and software. AI algorithms help them to identify the environment and take appropriate decisions according to the traffic rules. Truck platooning: In this technology, several trucks are paired with a minimum distance from each other and accelerate or brake simultaneously. Normally, only the truck in front is driven by a human driver, and other trucks follow behind without a driver attached. Algor

…Algorithm

AI algorithms help them interact with each other using wireless signals and maintain a proper distance.

Applications of AI in traffic control systems: This category includes the use of AI to improve traffic flow and reduce congestion and accidents. Some examples are:

Optimum routing: In this technology, AI algorithms determine the fastest route for drivers by analyzing traffic patterns and volumes, thus reducing travel time. Control of traffic lights: In this technology, AI algorithms use sensor data to automatically adjust the time traffic lights turn on and off to optimize the flow of vehicles according to traffic conditions.

Applications of AI in transportation services: This category includes the use of AI to improve the efficiency and quality of transportation services. Some examples are:

Sharing economy platforms: In this technology, AI algorithms are used in all aspects of Internet transportation services, such as driver-passenger pairing, route optimization, pricing, and payments.

Intelligent public transportation systems: In this technology, AI algorithms help to improve the performance of public transportation systems such as trains, buses, and subways by using location, schedule, demand, and capacity data. Underground intelligent transportation systems: In this technology, the algorithm

...AI algorithms, using data from the flashing system (RFID), help improve the performance of underground transportation systems such as the Post Tube, Tesla, and Hyperloop.

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