Use of Artificial Intelligence in Transportation and Mobility Industry

The transportation industry deals with the continuous movement of people and commodities from one place to another. Several types of research and studies are going on to refine the modes of transportation.

But the breakthrough in recent years related to the transport industry was the integration of artificial intelligence. Such a tremendous technological advancement has contributed to an incredible development of the transport industry.

Let’s go through the different aspects that evolved due to applying Artificial Intelligence in the transport industry.

Better traffic management

Accurate traffic management is vital for the management of traffic systems. With the application of AI, it will be possible to streamline traffic management. It will result in more efficient traffic movement control.

Cameras and sensors present on the roads will collect a significant amount of data related to traffic movements.

AI systems and big data solutions will analyze such data to reveal traffic patterns.

The relevant insights will provide the commuters with complete details on traffic predictions, road blockages, and accidents.

Thus, you will get complete and accurate information about the shortest routes to your destination.

There are specific monitoring systems that put AI in place through traffic cameras. Such systems alter the traffic lights depending on real-time road congestion. It will play a vital role in minimizing road congestion.

Thus, AI will reduce redundant traffic with improved road safety. It will also reduce the waiting time.

CellStrat hub, a unified AI platform for developers and researchers to learn, develop and deploy AI, has also developed object identification API. It can perform general-purpose object detection without any training. Check out AI Object Detector API.

Recently, it has enabled a multinational company to identify broken products in customer images for warranty claims.

Object identification can play a significant role in traffic management by identifying movable or non-movable objects on roads.

Effective traffic law enforcement

Law enforcement is another aspect that has improved since the application of Artificial intelligence.

The systems help law enforcement officers identify people who are drinking and driving.

Earlier, detecting drinking and driving cases was difficult as most vehicles moved at high speed. But the implementation of AI has resolved the issue.

AI voice assistants will resolve the issue. AI can accurately detect whether a person has been drinking or using a mobile phone while driving. It will send the alert to all nearby law enforcement officers who can intercept the drunk driver.

So, it will prevent many accidents. The police can check the license plate as per information procured through the AI system and respond within most least time possible.

Prediction of delays

Delays have become a common problem in all means of transportation. And the problem is affecting air transportation the most.

Passengers provide negative feedback on facing flight delays.

Flight delays are causing much financial loss to airline companies too.

Computer vision and data analysis are the most potent tools for implementing artificial intelligence. And these can shorten the waiting time of the passengers. AI can make accurate predictions of delays depending on real-time weather reports and air traffic.

The system can even consider aircraft glitches or other problems leading to delays. Computer vision system will use its features to monitor the aircraft at frequent intervals, and AI will use and process the real-time data from the plane to predict delays.

Moreover, the computations of the artificial intelligence system will reveal the hidden patterns that will help airline operators. The authorities will now understand finer possibilities that finally result in delays or even cancellation of the flights.

Drones at work

We are aware of the use of drones for delivery services. But do we know that these can be taxis soon? Crew less aerial vehicles can be the unique solution that will help to fight against:

· Traffic congestions

· Carbon emissions

· Expensive infrastructure.

Imagine the drones serving as taxis. People can travel much faster to their destination. It will lower the commuting tie too. In urban areas, drone taxis can be the perfect solution for managing issues like urban infrastructure development and urban planning.

There has been some practical display of drone taxis in some countries. But the implementation of the concept of “flying taxis” is not yet successful. But artificial intelligence is the critical factor that leads to the development of such future applications.

Self-driving vehicles

One of the most ground-breaking instances of AI is autonomous vehicles. Indeed, these are innovative creations using artificial intelligence. Once a sci-fi fantasy, the idea is now a reality that has been running successfully in many countries.

Although many people needed clarification about the performance of the vehicles, as people started using these vehicles, they understood that artificial intelligence matched up with the decision-making potential of the human brain.

Many commercial means of transport, like autonomous taxis and trucks, apply AI on the roads in different countries.

The classic case of Tesla:

Tesla is a popular name when it comes to electric and autonomous cars. Tesla develops and deploys autonomy at scale in vehicles. Tesla applies Deep Neural Networks on issues ranging from perception to control. They have made a network of cameras.

· These cameras perform semantic segmentation, object detection, and monocular depth from the raw images and videos.

· The bird’s-eye view networks use footage from all cameras to output the top-down perspective of the road layout, static infrastructure, and 3D objects.

· The network gathers iterative data from its fleet of millions of vehicles in real-time to learn from the most complex and varied events in the world.

· 48 Autopilot neural networks require 70,000 GPU hours to train. At each time step, they produce 1,000 different predictions collectively.

Route optimization

Do commercial taxi chains use artificial intelligence to optimize their route plan? Big corporations depend on Artificial intelligence and machine learning to find the shortest and fastest route for the drivers.

It saves fuel and allow the cabs to serve more customers within the stipulated hours of plying.

Challenges and opportunities

Everything in the world has a set of pros and cons. Artificial intelligence has undoubtedly brought about an era of highly sophisticated technological independence. But there are challenges along the way too.

AI will help to reduce congestion on the roads and maintain a smooth flow of traffic on the road. It can even lower fuel consumption.

On the flip side, this smooth traffic flow can encourage many people to buy cars? As a result, congestion and air pollution will keep on increasing.

AI technology may not answer all the questions of today, but it is the best hope for the future.

The implementation of artificial intelligence is going to boost the market of transport manufacturers. Moreover, it will be the ideal solution to fix various issues related to the transport industry.

Therefore, rely on the implementation of AI in the transport industry for an even better tomorrow.