Three Artificial Intelligence Use Cases in Transportation

When it comes to technology’s impact on transportation, the attention thus far has revolved around advanced driver assistance systems (ADAS) and autonomous vehicles. Artificial Intelligence extends far beyond autonomous vehicles, and offers a broad canvas for new start-ups and incumbents to disrupt how AI features can make smart transportation possible.

Large companies as well as niche startups are experimenting to see which technological and commercial features are sustainable.

This article looks at the key opportunity areas which AI is tapping into:

AI for Safety

In commercial vehicles and trucks, the propensity for accidents is high when the driver is inebriated, distracted or drowsy. Artificial Intelligence using inward-facing AI cameras can help in prevention of such accidents before their occurance. By alerting the driver, inward-facing AI cameras are not just able to prevent accidents, but also decrease massive insurance costs.

AI-enabled cameras also find applications in personal transportation, enabling passenger and driver safety. For instance, such AI-enabled inward-facing cameras can identify and alert the driver if infants and pets are left behind in the car, to prevent heat-related deaths.

AI can ensure passenger safety in autonomous vehicles by detecting passenger occupancy, identifying whether seat belts are strapped-on, and also in identifying lost items post completion of ride. In the cash of crash scenario, AI sensors can help in real-time tracking of passengers, and in calibrating airbag deployment and other safety features.

AI under the Hood

Predictive maintenance through machine learning will leverage data from several different sensors to diagnose, predict, and prevent mechanical issues. For autonomous vehicles, such technology will be definitely useful.

In addition, AI would be useful in identifying problems swiftly, through detecting software anomalies and cybersecurity attacks.

AI for Enhanced User Experience

AI using gesture recognition and natural language processing will enable drivers to better navigate traffic conditions. In addition, both drivers and passengers would be able to consume entertainment, especially music seamlessly.

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