Different Types Of Intelligent Transportation System
Now we will discuss the different types of intelligent transportation system components that can benefit from industrial computing solutions.
Passenger Information System (PIS)
Industrial computers are often deployed to power passenger information systems. Long gone are the days of static maps showing passengers at what time trains and buses will arrive. Commuters and passengers can now access real-time information about the status of their bus, train, fairy, or other transportation vehicles via their phones or digital signage displaying the information at transportation stations. However, providing passengers and commuters with real-time information is not an easy task. It requires rugged industrial computers to be deployed in vehicles to push vehicles’ status and location to the cloud, supporting passenger access to transportation information.
Vehicle Monitoring & Management System
Intelligent transportation systems enable transportation agencies and truck fleet operators to remotely monitor transportation vehicles. In-vehicle computers are able to collect vehicle data via the CAN Bus network and relay that data to the cloud for remote monitoring. Information that can be collected includes vehicle speed, vehicle ignition status, engine status, airflow, fluid level, and much more vehicle information.
Additionally, intelligent transportation systems can be used to monitor vehicles such as buses, trains, vans, emergency vehicles, and many other types of vehicles. Intelligent transportation systems are able to monitor vehicles thanks to industrial in-vehicle computers. Industrial PCs are rugged enough to withstand deployment in vehicles thanks to their rugged design and build quality. They are able to gather, process, and analyze data in real-time for real-time decision making. They can also connect to the internet via rich connectivity options, allowing them to send and receive data for remote monitoring and control.
CCTV Surveillance Of Transportation Vehicles & Stations
Intelligent transportation systems improve passengers’ safety via the deployment of camera systems in buses, rail, ferries, vans, and other transportation vehicles to monitor passengers, employees, and vehicles, making for a much safer environment. Industrial computers are often deployed to connect the various cameras and sensors to one another, as well as connect them to the internet. Furthermore, GPU powered inference computers can be used to perform tasks, such as license plate recognition to facilitate toll collection, identification of vehicles of interest, and monitoring traffic patterns for better route planning.
Moreover, industrial computers can collect, process, and analyze video feeds for unusual activity; when the video feed sets off certain programable triggers, only the portion of interest is uploaded to the cloud for additional analysis.
Industrial computers for intelligent transportation are often used in autonomous vehicles. Autonomous vehicles include autonomous road cars, autonomous mining vehicles, autonomous farming vehicles, autonomous warehouse vehicles, and many more. Industrial computers enable autonomous vehicles because they can gather, process, and analyze enormous amounts of information fed to them from the various sensors and cameras located on autonomous vehicles.
Intelligent Traffic Management Systems
Industrial computers can be deployed to enable intelligent traffic management. With the number of cars continuing to increase, local and federal governments are always thinking about ways to enhance the efficiency of road and traffic conditions. Industrial computers for smart transportation can be deployed to automate the transportation system and make more efficient use of the existing infrastructure.
Sensors and industrial computers can be deployed across cities, collecting real-time data that can be used to analyze traffic conditions, such as the flow of traffic, congestion, speed of vehicles, traffic at specific signals, and much more data. The data can then be processed and analyzed locally on edge industrial computers, producing valuable insights that can be used to enhance the transportation system’s efficiency.