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How AI Can Transform The Transportation Industry

Transportation, which moves goods and people, has undergone many investigations, experiments, and advancements. The steamboat was a transportation milestone in 1787. Before this, commuters used animal-drawn carts. After then, bicycles (early 19th century), motor cars (1890s), trains (19th century), and aircraft (19th century) helped the transportation business flourish. (1903). Today, vehicles can drive themselves. Technology has helped the transportation sector evolve. AI has helped the sector. AI in transportation improves passenger safety, traffic flow, carbon emissions, and costs.

Transportation AI explained

AI has been prevalent in our daily lives for some time. Technology has mostly succeeded. Most people don't realise they utilise AI daily.


AI—what does it do?

AI gives machines human intelligence. AI-enabled machines mimic humans, automate manual jobs, and learn on the fly. AI handles repetitive, time-consuming jobs via automation. AI-powered systems can also learn and perform critical-thinking tasks and make decisions. Transportation companies are investing heavily in AI to boost revenue and beat the competition. Studies predict the worldwide transportation AI market would reach 3.5 billion dollars by 2023. Let's quickly examine some transportation AI applications.

Transportation AI applications

Transportation use examples demonstrate why the market is rising and why organisations should employ AI  Use cases:

Autonomous cars

Autonomous vehicles are a revolutionary AI application. Autonomous vehicles are now practical. Driverless cars have entered the transportation industry despite initial scepticism. Tokyo has self-driving taxis. Currently, the driver sits in the taxi to take control in an emergency for safety reasons. The maker of this driverless cab claims that the technology would lower taxi service costs, which could boost public transit in rural places.

US logistics is also using autonomous vehicles to gain. Trucks move 65% of products worldwide, according to Mckinsey. Autonomous trucks will reduce maintenance and administration costs by 45 percent. Most businesses are still operating pilot projects to make self-driving cars safe and reliable. Self-driving cars will become popular as this technology improves.

Traffic control

Congestion is another daily transportation issue. AI can now fix this too. Roadside sensors and cameras gather massive amounts of traffic data. This data is uploaded to the cloud for big data analytics and AI-powered traffic pattern discovery. Data processing can forecast traffic. Commuters can be informed about traffic, accidents, and roadblocks. People might also be informed of the shortest path to their destination, avoiding traffic. Thus, AI can minimise traffic, increase road safety, and reduce wait times.

Predicted delays

Flight delays are another major air transport issue. According to UC Berkeley studies, flight delays cost the US 39 billion dollars. Flight delays ruin the flying experience and cost money. Flight mishaps can lower a transport company's value and increase customer attrition. AI helps the airline industry address these difficulties. Data lake technology and computer vision can reduce passenger wait times and improve their journey experience. To avoid delays, passengers should be informed of flight details in advance. Bad weather or technical issues might delay flights. Computer vision systems monitor aeroplanes continuously, avoiding accidental downtime. AI and machine learning will also process weather, historical, and real-time aeroplane data. On-the-spot calculation will reveal hidden patterns, which can help the airline industry understand additional causes of flight delays and cancellations. Passengers can use this data for scheduling.

Drone cabs

Drone taxis are among the most innovative AI transportation applications. Pilotless helicopters are a novel way to cut carbon emissions, traffic, and infrastructure costs. Drone taxis also shorten commutes.

Rising populations have put city planners under pressure to plan smartly and create infrastructure without sacrificing resources. Drone taxis may answer all these city planners' problems. In China, 17 passengers experienced smart air transportation for the first time in an autonomous aerial vehicle.

Humankind's most amazing technical innovation is AI. Despite all the great inventions we have seen thus far, we have merely scratched the surface of AI. The above AI transportation applications demonstrate the technology's potential. AI-driven futures would be great and thrilling!

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