AI Articles and Reports in Transportation

Explore articles and reports related to artificial intelligence in transportation, including coverage of self-driving cars, public transportation systems, and more.

AI in Transportation - Current and Future Business-Use Applications 3

AI in Transportation – Current and Future Business-Use Applications

The transportation domain is beginning to apply Artificial Intelligence (AI) in mission-critical tasks (for example, self-driving vehicles carrying passengers) where the reliability and safety of an AI system will be under question from the general public. Major challenges in the transportation industry like capacity problems, safety, reliability, environmental pollution, and wasted energy are providing ample opportunity (and potential for high ROI) for AI innovation.

Natural Language Processing - Current Applications and Future Possibilities

Natural Language Processing – Current Applications and Future Possibilities

A 2017 Tractica report on the natural language processing (NLP) market estimates the total NLP software, hardware, and services market opportunity to be around $22.3 billion by 2025. The report also forecasts that NLP software solutions leveraging AI will see a market growth from $136 million in 2016 to $5.4 billion by 2025.

How the 4 Largest Airlines Use Artificial Intelligence

How the 4 Largest Airlines Use Artificial Intelligence

The U.S. commercial airline system is an economic engine which generated an estimated $168.2 billion in operating revenue in 2016. Ticket fares represented 74.5 percent of operating revenue or $125.2 billion. In 2016, the overall category of transportation represented approximately 2.7 percent of the national GDP.

Computer Vision for Body Language - How it Works and How it Could be Used

Computer Vision for Body Language – How it Works and How it Could be Used

As a human, we can often understand the mood, intention, and future action of another person just by looking at them. We see their posture, their facial expression, where their eyes are focused, and we can get a decent understanding of what they might do next. The problem of computer vision for body language is a much harder problem to solve, but we are indeed making progress.

Commercial Drone Regulations - Near-Term Challenges and Consequences

Commercial Drone Regulations – Near-Term Challenges and Consequences

The vision of an army of small unmanned aerial vehicles streaming through the sky to rapidly deliver food packages has captured the imagination of the public, the media, and most importantly some of the largest companies in the world. Achieving this vision won’t just require overcoming the technological and safety challenges, but also significant buy-in from the public and policy makers.

Autonomous Vehicle Regulations - Near-Term Challenges and Consequences

Autonomous Vehicle Regulations – Near-Term Challenges and Consequences

Several car makers predict they will able to make true self-driving cars in the next few years - as we've covered in our recent self-driving car timeline article. This technology, though, is only valuable if there are plenty of roads these self-driving cars are legally allowed to travel on. Even if the technologies allow for true autonomy, without legal permission the self-driving cars are mostly worthless to individuals and companies.

Transportation

Explore articles and reports related to artificial intelligence in transportation, including coverage of self-driving cars, public transportation systems, and more.