Revolutionary AI Applications In Transportation

Kalyani Tangadpally
5 min readJul 18, 2022


The transportation domain is beginning to apply artificial intelligence (AI) in mission-critical tasks (for example, autonomous vehicles carrying passengers) where the reliability and safety of an AI system will be questioned by the general public.

Major challenges in the transportation industry, such as capacity issues, safety, reliability, environmental pollution, and wasted energy, provide ample opportunities (and potential for high return on investment) for AI innovation.

Benefits of AI in transportation:
The best combination of AI and transportation somehow came about naturally, as the adoption of these technologies can have a massive impact across the industry, although the application of AI still varies across geographies.

Increased use of A.I. it will ensure reduced labor costs while providing higher profits — fully automated fleets will be there to solve a problem of long driving hours and breaks.

AI can also have a big impact on safety and traffic accidents. Driving at night is a big problem and smart unmanned vehicles can significantly improve the problem. Autopilots or unmanned vehicles that can operate without a human being can help drivers sleep without causing traffic accidents.

Traffic management can also be more effective: AI methods allow us to forecast traffic using traffic data and details about ongoing urban events, as well as suggest alternative routes through automation.

Complex infrastructures and various elements within cooperation chains can be enhanced with the help of AI through e.g. optimal route schedule, minimum waiting time, real-time traffic detection to adjust routes, etc.

Data analytics in logistics can also help improve transportation planning and increase overall safety.

How AI can optimize transportation

#Ensuring the safety of all road users
The safety of passengers, pedestrians, and drivers has always been the main concern of the transportation industry. Leveraging AI models does much more than decrease the amount of human error; transportation analytics help minimize the effects of driving hazards in crowded urban areas while monitoring safety compliance and vehicle maintenance reporting.

Read: How much does it cost to build travel apps

#Plan and schedule efficiently
Intermodal logistics problems are always relevant for companies with a large fleet, complex infrastructures, and numerous links in a cooperation chain. State-of-the-art modeling technology can address these issues and improve operational efficiency: optimal route scheduling with minimal waiting times, traffic detection to adjust the route in real-time, timely regulatory compliance, etc. Using data analytics in logistics provides a data-driven view of routes and driver behavior, updates the transportation planning process, saves resources, and increases safety.

#Predict and monitor traffic
Traffic, the main disruptor of transportation, causes delays, accidents, and fuel waste. Forecasting techniques, however, allow you to forecast traffic conditions using traffic monitoring data, information about sporting events or city construction and even automatically calculate alternative routes.

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Half of the uncertainty of giving and receiving trucking quotes, estimated deliveries, and freight claims come from a lack of predictive capabilities. Since no all-encompassing system exists to integrate every carriers’ lanes, quotes, and deliveries, freight forwarders are left with no option but to take their “best stab” at guessing these factors. Although these windows of error have greatly diminished through years of practice, the only real solution to provide clear, concrete answers to clients is by utilizing the predictive analysis capabilities of an artificial intelligence system.

Better Transportation Management Systems
Before artificial intelligence in transportation, each transportation management systems (TMS) has just served as another way of organizing big data. Innovations in TMS applications have begun to plateau over the recent years, making the distinction between minuscule leading competitors and causing industry leaders to turn to the potential benefits of implementing artificial intelligence in transportation systems (such as in their TMS applications.)

Artificial intelligence in transportation systems not only carries the benefit of organization but also the adaptability to learn. The majority of competitive threats in the transportation industry revolve around company size and innovative capabilities. Despite any amount of innovation on the part of a human mind, having an ever-evolving, ever-learning computer system that can innovate on its own presents a massive competitive advantage to any freight forwarder who can get their hands on such a program.

The potential exists for artificial intelligence transportation management systems to handle the entire process — from quote to delivery — on their own. Thus, an artificial intelligence TMS could fully automate freight transportation. The main benefit of a generic transportation management system — to display shipment data in an organized user interface — could be rendered archaic by the implementation of a program which can view information and make decisions on its own about the absolute best way to ship a product.

Adding Members to the Team
You’ve probably already come to this conclusion, but for the sake of role-playing “Captain Obvious,” the answer is yes. An artificial intelligence operating system practically serves as another employee. One with perfect test scores, predictive capabilities, fast answers, and quick learning abilities — all without the need to down a pot of coffee in the office every morning.

As stated before, the benefit of using Artificial intelligence Services in transportation systems is not only the system’s intelligence but also its ability to learn in a manner similar to humans (though at a significantly faster pace.) In a sense, artificial intelligence in transportation management systems could only outperform every other TMS on the market all while maintaining the vision and values ​​of each unique carrier.

Promises of Artificial Intelligence in Transportation
When people hear about artificial intelligence in transportation, their first thoughts resort to a robotic world rendered dry of personality. However, the promises of artificial intelligence in business are offering more efficient operations without sacrificing the unique character and personality of each company — it’s one of the primary benefits to AI systems in contrast to all past computer minds. The best part? All of it is arising in the near future. While industries such as social media and human assistive applications have taken first dibs on the software, the reproductive nature of AI systems is causing a wide-spread growth and implementation of the technology.



Kalyani Tangadpally

SEO Executive and a Content Writer interested to write on Artificial Intelligence, Mobile App development, Machine Learning, Deep Learning, HRM & tech Blogs