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Artificial intelligence in transportation advantages, disadvantages & applications
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AI will allow streamlined traffic patterns and a significant reduction in congestion, Artificial intelligence is now being used in law enforcement capacities and is helping to identify and catch those who drink and/or text while driving, Artificial Intelligence can eliminate Traffic Jams, Machine learning could soon be used to predict and prevent traffic jams.

AI in Transportation applications


Self-driven cars and trucks have been of high interest in the last several years, In the commercial sector, Uber and Elon Musk have produced self-driving trucks to reduce the number of accidents on highways and increase productivity, Major challenges in the transportation industry like capacity problems, safety, reliability, environmental pollution, and wasted energy.

Artificial intelligence is used within transportation, Automakers can use AI to adapt to a changing transportation landscape, as it offers opportunities to both decrease production costs and create new revenue streams, However, costs will still be a major barrier to adoption — more than half (53%) of global business and IT leaders cited the high costs associated with AI technology as a major deterrent to adoption.

Artificial intelligence has been in development & implemented in a variety of ways, Safety is the most important consideration for those working within the travel or transportation industries, passengers and customers need to know that they or their belongings are in safe hands.

Technology has made increasing safety levels much easier over the years and now, with the advent of AI technologies that are becoming increasingly adopted by businesses and enterprises operating within the transportation arena, safety levels could about to reach even higher peaks, Another top consideration of many businesses or enterprises operating within travel or transportation is the reliability of their services or vehicles.

Passengers are much less likely to travel with operators or in vehicles that look or that are known to be unreliable, Use of Artificial Intelligence in Public Transportation to enhance reliability of the service is one of the key drivers of its adoptions within the industry.

Using artificial intelligence technologies, it is hoped that the ability to process and predict data and outcomes in much larger quantities than humans are capable of will allow travel and transport operators, as well as eventually the public themselves, the ability to schedule public and private transportation services in a significantly improved manner.

Currently, there are several ways in which artificial intelligence is being used within transportation, As this technology continues to evolve and become more and more mature, it is almost certain that the number of roles it can occupy and manage will increase exponentially.

Autonomous vehicles are some of the most exciting new innovations to become a reality within the transportation and could very well be the first step into a new future of autonomous transport, Artificial intelligence is vital within these driverless vehicles due to their processing, control and optimization capabilities.

Due to its processing, control and optimization capabilities, artificial intelligence could be applied to traffic management and decision-making systems in order to enhance and streamline traffic management and make our roads smarter, People are surprised to find out that one of the earliest adoptions of artificial intelligence within transportation was the autopilot systems used in almost every commercial aircraft in service, While today it may not sound as futuristic as other applications in which AI is being tested, it is still an essential part of modern air travel.

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