Artificial Intelligence (AI) is a cutting-edge technology that benefits the transportation sector in various ways. It’s a tried-and-true technology that’s revolutionizing the transportation industry. In addition to making our lives simpler, it aids in the safer and more efficient operation of all means of human transportation.
With the advent of artificial intelligence in transportation, the industry has advanced where cars can move without human aid. Artificial Intelligence has made it possible to do this. In the transportation business, artificial intelligence technology is assisting the industry in improving safety, reducing unforeseen accidents, reducing traffic, reducing carbon emissions, and lowering overall financial costs.
Artificial intelligence in transportation assists firms in increasing efficiency, employee performance, sales, and automated manufacturing processes, among other things.
Transportation, the business of moving goods and people from one location to another, has undergone several studies, inquiries, experiments, and modifications to get to where it is today. In 1787, the steamboat became one of the most significant milestones in the history of transportation.
Previously, people had to rely on animal-drawn carts to go about. Following that, key achievements in the transportation business included the introduction of bicycles in the early nineteenth century, automobiles in the 1890s, railroads in the nineteenth century, and airplanes in the twentieth century (1903). The transportation industry has progressed to the point where vehicles can navigate and move without human intervention.
The transportation industry has benefited from technological breakthroughs in its quest for innovation and evolution. It is one example of a cutting-edge technology that has helped the industry. Using AI in transportation may assist the industry in improving passenger safety, decreasing traffic congestion and accidents, cutting carbon emissions, and lower overall costs.
Advantages of AI in Transportation
Artificial intelligence may simplify the transportation business, resulting in more secure transportation services. Self-driving vehicles are already using it. If artificial intelligence can make automobiles safer to drive, it should be able to assist human drivers as well.
The vehicle industry has provided cutting-edge technologies to control transportation safety. Vehicle-to-vehicle communication systems allow vehicles to communicate with one another and alert drivers of potentially dangerous driving behaviour or situations, such as entering the wrong lane. Self-driving cars are also being developed to eliminate human mistakes in the future.
In today’s extremely unpredictable world, a transportation ecosystem’s most crucial component is dependable and on-time transit service. Transportation companies have long used internal systems to plan and manage their operations. External data sources like, weather, traffic, location monitoring, and predictive analytics might be challenging to connect with these systems.
To forecast ideal bus timetables, it may analyze historical, real-time, and predictive data. The system interfaces with fleet management systems and passenger information display at transit stop to provide effective and efficient bus scheduling. This is more dependable than human scheduling because it corrects for faults caused by bad weather, rush hour traffic, or equipment failure.
These days, people are paying greater attention to the environment, as seen by numerous climatic changes. However, to maintain long-term sustainability, it is necessary to reduce the use of polluting elements in the industry.
Artificial intelligence might play a significant role in developing and deploying pollution-control solutions. Scientists and engineers may be able to create more ecologically friendly methods to power and operate vehicles and equipment for travel and transportation with the aid of it.
AI in transportation: Applications
- AI in Public transport
Buses, trains, trams, subways, and taxi services account for more than half of public transit. If AI guides public transit, it will become much more efficient and convenient for passengers.
The data given by cameras and sensors would be collected and analyzed by it. To get to the target quicker, it would choose a faster route and avoid traffic lights. Data gathering for AI integration is underway on a massive scale, including ticket purchases, number of passengers, number of stops, rush hours, etc.
It is unquestionably the best way to improve public transportation and communication. It will also aid in the lowering down of carbon emissions into the atmosphere.
- Self-driving vehicles
Autonomous cars are one of the most groundbreaking it’s applications. Autonomous vehicles, which were previously just sci-fi fiction, have become a realistic reality. Even though many people were suspicious of this technology during its early phases of research, driverless cars have already entered the transportation industry.
In Tokyo, self-driving taxis have already begun to operate. However, for safety reasons, the driver now sits in the vehicle to take control of the cab in an emergency. According to the creator of this self-driving cab, the technology will lower the cost of taxi services, assisting in expanding public transit options in rural regions.
- AI traffic management
We’ve all been there: stuck in a traffic gridlock that seems to stretch forever, wondering when the lights would turn green!
Machine learning is already being used to avoid traffic bottlenecks; algorithms can now evaluate large amounts of data and propose the optimal route for passengers. Traffic cameras may transmit data to a control centre, where algorithms can estimate the amount of traffic on the way. This data may then be used to adjust traffic signals in real-time to accommodate road congestion.
Surtrac is a highly intriguing and promising traffic flow control solution. It permits lights at intersections to adapt to vehicle flows on an individual level rather than as part of a centralized system, and it was designed primarily for metropolitan settings.
- Travel Tickets that have been implanted
The remarkable technology of the ‘Oyster Card,’ for example, seems to be on the verge of being outdone! Travellers’ hands may now be implanted with chips that can be scanned at railway stations’ entry and exit fare gates.
In Sweden, commuters have been trying microchip implants as tickets, and SJ trains have begun scanning passengers’ palms on board their trains.
The chips eliminate the need to wait in line, and you’ll never be caught without a ticket again!
- Ensure safety for all road users
The transportation industry’s priority has always been the safety of passengers, pedestrians, and drivers. Using its models for transportation analytics helps to minimize the consequences of driving dangers in congested metropolitan locations and monitor safety regulation compliance and vehicle maintenance reports.