Artificial Intelligence

Artificial Intelligence in Transportation 

Mubarak Musthafa | Last Updated on : March 24, 2023

Artificial Intelligence In Transportation.

Transportation, the process of relocating people and goods from one location to another, has now undergone numerous studies, investigations, experiments, and refinements to reach the position where it stands now. Artificial Intelligence (AI) is the leading technology that backs the working of the transportation industry in many ways and has proven to be the technology that is capable of bringing tremendous revolutionary changes in the industry.

Apart from the fact that AI changes our life easier, it helps in making human transportation safer and more efficient through all modes. With AI being implemented, the industry has seen great progress at such a level that transportation is taking place without human intervention or assistance. AI has the capacity to enhance traffic efficiency, relieve traffic congestion, free up driver time, make convenient parking facilities, and boost ride-sharing features. The application of AI in transportation can also eliminate unnecessary fuel consumption caused by non-moving vehicles, as well as improve air quality by enabling traffic flow.  

Why AI in transportation? 

The benefits and uses offered by artificial intelligence services in the transportation industry will explain why it is important or what makes AI important in the industry. Here are some points that prove the importance of AI in transportation: 

Driverless cars preventing accidents  

It is already clear that AI aims to replace human intervention and thereby results in errors in the transportation industry. Self-driving cars that operate without human drivers are one of the best examples of AI use in the industry. Driverless vehicles are designed to follow traffic regulations with the help of sensors, prevent accidents by stopping or slowing down the vehicles whenever an object or person is detected, drive carefully while taking turns, etc. The auto-pilot car launched by Tesla shows the successful implementation of AI in the automobile and transportation industry. Companies like Toyota and Hyundai are also planning to introduce self-driving cars in the near future. 

Parking management  

Hassle-free parking is something every driver looks for and never gets most of the time. AI has put an end to the struggle with parking vehicles. Sensors have been installed to identify the parking space in vacant lots and they can calculate the space occupied by a vehicle parked in one place. Since sensors alone cannot scan license plates, it operates in coordination with cameras, parking meters, and computer vision. The cameras utilize computer vision to detect meterless spots. With the help of automatic number plate technology, they can locate parked vehicles and measure the time they are parked, thus assisting the computer vision to give live updates regarding all the available spaces. This technology also helps drivers to spot all the parking slots which are free using the map on their smartphones. 

Road condition monitoring  

Drivers in the United States spend almost $3,000,000,000 a year as a result of pothole damage, which is a primary concern of the citizens. AI-enables computer vision allows the transportation industry not only to detect damages but also to identify any change in asphalt and concrete to evaluate the surrounding infrastructure. These AI-driven algorithms can detect potholes and the intensity of road damage around the area, thereby helping relevant authorities to initiate actions for road maintenance. The algorithms function by taking the image data before moving to generate automatic crack detection and classification systems. 

Ensure safety  

Safety is a main concern in the transportation industry and it is not just limited to drivers or passengers. The safety of every road user including passengers, pedestrians, and drivers has always been paramount in the transportation industry. Implementation of AI technology is much more than reducing the number of accidental errors made by humans; transportation analytics helps reduce the impact of driving accidents, especially in congested urban areas while keeping an eye on compliance with safety regulations and reports on vehicle maintenance. 

Forecast and monitor traffic  

What would be the most difficult obstacle during transportation? The answer is traffic that causes delays, over-consumption of energy for no reason, wastage of fuel, accidents, etc. However, forecasting techniques help you to predict traffic conditions and automatically find alternative routes using information from traffic monitoring data that can spot events or any construction that causes traffic in the city. Traffic monitoring data provides a smooth and efficient transportation experience for the passengers and drivers, other than saving a lot of time and fuel. 

Efficient planning and schedule  

Issues of intermodal logistics have always been significant to businesses with a large fleet, intricate infrastructure, and multiple links in the cooperative network. Only cutting-edge technology can solve these issues and enhance performance: optimal route scheduling with minimal waiting time, real-time traffic detection to adjust route-setting, and timely controls. Combining AI data analytics with logistics gives an idea of routes, driver behavior, updated transportation planning process, reduced resource wastage, and enhanced security, based on the data. 

Reduced waiting time  

Nowadays the use of online taxis and rides has increased to a greater extent. Passengers are no longer patient enough to wait for hours to get a transportation service. You can simply book a taxi from your location and it will take you to any location you have entered. Transport service providers can use the route map on their phones to locate the customer and reach the location without any hassle. This automatically reduces the waiting time of customers. All these are made possible with AI algorithms and computer vision that helped the service providers to make data-driven decisions. 

Wrap Up 

Artificial Intelligence (AI) in transportation utilizes relevant cutting-edge technologies like machine learning and big data to ensure better safety and greater efficiency, thereby reducing the number of road accidents, and improving compliance with law and order in cities, towns, and as well as in smart cities. If AI can deal with important issues in the transportation industry like a large number of unwanted deaths, interruptions, and damaged roads, it can automatically improve safety and efficiency. Then addressing the second level of problems like human errors, carelessness, over speed, etc. will become easier. 

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Mubarak MusthafaVP of Technology & Services at ClaySys Technologies

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