THE SWIFTER DRIVE- AI CHANGING THE TRANSPORT INDUSTRY

Each year, poor driving costs cargo millions in extra fuel per vehicle. Performing the necessary calculations, efficient and safe driving can save a fortune annually in fuel costs alone by reducing needless idling, lowering overspeeding and driving sleekly. However, with the advent of AI, it is now possible to minimize the errors.


“AI has reached a level of maturity where we can safely say it will change driving, transport, and logistics completely.”


Following are some fascinating breakthroughs of AI in this sector


A. Self-driving vehicles

Potential benefits of using autonomous vehicles include lowered costs, improved safety, expanded mobility, better customer satisfaction, and diminished crime. When it comes to safety, the marginal reduction in traffic collisions due to better management is a bonus. Automated cars are predicted to regulate traffic flow, provide enhanced mobility for the public, increase the fuel efficiency of the vehicles and significantly reduce needs for parking space, making it a necessity for the future.


B. Predictive Maintainance

Not only will the autonomous vehicles be occupied with self-diagnosis but even the non-autonomous vehicles will be outfitted with more intelligent systems to assist proactive maintenance and pre-empt breakdowns. When certain conditions match up to part or machine failures, the analytics use that data to predict future failures. This leads to the knowledge of circumstances under which more damage can be done and enables the manufacturer to repair with minimal downtime for the assembly line. Predictive Maintenance gives us a self-servicing car and vanishes the stress.


C. Smart Safety features

Predictive Analytics can take modern safety features to another level, offering assistive safety that can predict possible accidents, forecast the behavior of other road users, and control the braking system relied on the road and weather situations to avoid skidding. All this can be possible with neck-deep analysis of the Big Data and can prove very beneficial for the citizens.

D. Intelligent Fuel Consumption

With the assistance of advanced route planning and upcoming models for transport, such a ‘green-streaming’ to bypass waiting at traffic lights, or ‘platooning’ in which vehicles follow each other at a distance calculated to be safe and streamlined, it is highly likely that the transport industry will save a significant amount of precious renewable fuel. Predictive Analytics can be employed to study the trends in fuel consumption patterns to determine when too much fuel is being consumed to develop an efficient system.

With the picture looking so rosy and plush, it is highly likely that we can expect to experience the magic of AI in the transport system in our daily lives pretty soon.

The change we brought
0 +
Most advanced ready to use AI modules for manufacturing data analytics
0 %
Accuracy of APA models
100
Time of Transfer Learning from 1 to n Machines
0 Mins
To Build your AI model
Our Proven Results
0 %
Increase in OEE
0 %
Decrease in delivery time
0 %
Decrease in energy costs
0 %
Reduction in quality defects
Tvarit The Team
We’re based out of Frankfurt Germany having the perfect team composition - a German founder bringing vast know-how of machinery coupled with high-quality software expertise of the Indian founders.
References