How Artificial Intelligence helping business Grow in Transportation
Most cities face the same problems when it comes to traffic and congestion. With the effects of urbanization and increased use of private vehicles, the number of cars on the road is unfortunately increasing. This not only affects the environment by further contributing to global warming but also costs both time and money, adding more stress to the daily lives of citizens. AI is set to solve the problem of traffic congestion by using data collected from sensors and cameras embedded in roads that usually have heavy traffic. Data sent to the cloud serves as a key element for analyzing traffic patterns, providing municipalities with valuable insights into its current state, enabling them to make effective predictions and improve traffic flow. This is usually made possible by big data analytics and AI-based system.
Other valuable insights and benefits from this data
processing include reducing the number of accidents on the road and predicting
and avoiding possible disruptions such as roadblocks. Passengers will be
provided with important information regarding the current status or any
incidents taking place on the roads, as well as informed about the best route
to their destination, helping them achieve a more seamless journey with less
hassle and inconvenience.
Ways AI is transforming the transportation industry
- Automatic Traffic Incident Detection
- Parking and Traffic Regulation Enforcement
- Automated License Plate Recognition
- Autonomous Vehicles
- Delay Predictions
- Road Condition Monitoring
- Driver Monitoring
- Drone Taxis
The Future Impact of AI on the Transportation Industry:
Artificial intelligence can, in some cases, replace the
need for human labor in certain jobs in the future. We’re already seeing this
with services like Waymo, which replace human drivers with autonomous,
self-driving vehicles that can pick up passengers using AI.
Check: How will artificial intelligence affect the future of the
transportation industry?
Autonomous, self-driving vehicles
Autonomous vehicles are self-driving cars that do not require the expertise of
a human driver. These vehicles combine the power of artificial intelligence
with engineering, cameras and sensors to navigate from one point to another.
Currently, there are many car and vehicle manufacturers developing and testing
self-driving cars for the commercial market, including BMW, Tesla and Waymo.
Of course, there are concerns about the safety
capabilities of such vehicles and their ability to keep passengers safe.
However, continued testing and research will see autonomous vehicles become
safer than those driven by human drivers. Overall, we should see a decrease in
frequent road accidents and a worldwide increase in the production and adoption
of self-driving vehicles.
Traffic management
Big, densely populated cities have one thing in common — traffic congestion.
Using cameras and sensors, AI can collect data on traffic conditions, analyze
them with big data analytics, provide travelers with valuable insight into
traffic conditions, and suggest the fastest routes to follow.
In a way, Google Maps Traffic and Route Prediction does
this. But the Google Map method is flawed because it only uses the phone’s GPS
tracking to predict traffic congestion. This is inefficient and inaccurate in
situations where the number of actual vehicles on the road is greater than the
number of smartphones.
Anticipating flight delays
Flight delays are costly for airlines and passengers. With AI, airlines can
monitor common culprits of flight delays such as weather conditions, air
traffic congestion, travel and mechanical delays to prevent loss of time and
resources due to flight delays. In addition to the obvious causes of flight
delays, artificial intelligence can also be deployed to predict unpredictable
situations that affect flight schedules.
Fleet operation and maintenance
The global pandemic revealed the need for more efficient logistic services.
Many organizations that operate large fleets need a system that allows all
moving parts to function smoothly and efficiently. From tracking and
communication between drivers and fleet managers, AI can provide real-time
updates, simplify data management and provide insight into problem areas.
Digital number plates for cars
Toll gates and fees are a source of traffic congestion in some populated areas.
Passengers spend time at gates trying to pay cash or swipe a card before they
are allowed to pass, essentially delaying other drivers behind them. With
AI-powered digital number plates, governments and businesses can connect many
services to number plates, including toll payments.
Also Read : Use Cases Of
Artificial Intelligence In The Manufacturing Industry
Final thoughts
Machine learning & Artificial
Intelligence in transportation are just beginning to scratch the surface of
their capabilities. In the following years and decades, these technologies will
be deployed more and more, eventually taking on more functions. They can
eliminate human errors, automate and streamline processes, and predict upcoming
trends.
If you’re ahead of schedule and want to implement
artificial intelligence technology, now is the time to start. USM Business
Systems is a Mobile
App development company that is your trusted and reliable AI solution
provider. By integrating big data analytics with custom AI and machine learning
solutions, we help you discover the hidden potentials of your data, automate
your operations and move you closer to your business goals. Contact our AI team
of transport experts who will answer all your queries and provide you with
professional advice regarding the world of modern technologies.
Comments
Post a Comment