Artificial Intelligence is changing the transportation field. It helps cars, trucks, trains, shins and airplanes to function automatically to make traffic smooth, safe, clean, smart and more efficient.
Transportation Outline –
Artificial Intelligence is changing the transportation field. It helps cars, trucks, trains, shins and airplanes to function automatically to make traffic smooth, safe, clean, smart and more efficient.
Due to increase of population, the evolution of transportation increases and it increase the complexity to manage and to analyze the generated data in transportation.
To simplify and to maintain the complexity of such requirements AI is being used. Al-based techniques are applied in different form and in different areas whether it is road, aviation, waters or railways. AI helps all transportation safer and smarter. It also reduces human errors which involve traffic accidents and many more.
The use of AI in transportation is also known as intelligent transportation systems (ITS) which include simplification of huge amount of data generated during transportation whether it is from vehicles as well as drivers.
Transportation Method –
Transportation is the basic living standard for the present life. About 305 of the humans spent approx 2 hours of time in a day in travelling.
In AI there are many methods to improve the use of transportation system. Particularly the transportation use Al as self control vehicles, predictions of path, and predictions of traffics. It can be divided as :
- Vehicle control system
- Traffic control system
- Traffic prediction system
- Accident prediction system
- Road safety system
The above AI methods decrease the level of accidents and injuries, because of the auto drivers, vehicles controlled so that less accident happens.
Some methods are auto driving auto braking system, auto management, and emission control system. Predictions of traffic also reduce the traffic jams and accidents.
Road safety systems help to avoid and prevent the possible accidents. Many transports are based on sensors such as GPS, cameras, radar in combination with the devices which transform an input signal into motion.
Control systems and software are some of the methods which takeover the drivers functions some are parking the vehicle, Reversing, Driving, Stay, Stop which replaces the human drivers.
Transportation Techniques –
Al is the vast area and there are many techniques which are applying at present and also in the past in all the area, In transportation area we grouped some of them are:
1. ANN as Artificial neural network
2. GAS as Genetic algorithm system
3. FLS as Fuzzy logic system
4. ES as Expert system
Use of AI techniques in different transportation areas –
It analyze that artificial neural network technique is the most used techniques among all. If we take an example of roads and traffics ANN and FLs are used to monitoring and to find the stability of vehicles in intelligent system and to avoided traffic jams and predictions of vehicles GAs implemented.
Areas:
As we already mention with illustrations the areas where Al is used, here we discuss in details.
Al in Roads: – Illustration of truck platooning –
Al makes truck platooning, let 4 vehicles are inline the driver of the first vehicle can control other three trucks or allowing them to let go of the steering wheel and let the truck steer by own or it is also called as automatic driving system.
The distance between the vehicles is about to 10-12 meters. This method is very helpful which cause less congestion. Another platform where AI is used in uber drivers were the riders and drivers can recognizes the identity and also the route optimization.
AI In Aviation: – Illustration of automated pilots in wars –
It’s about 20 million of flights in 2018. AI is not new in the aviation industry by automating driving, brake, traffic predictions. AI helps aviation systems for safe and secure.
AI makes aviation business helpful with machine learning it predict the data what the customer want through google or social media and adjust the content according to Customers.
Some highly uses cases are fuelling, catering, loading-unloading passengers, baggage control, emails and security.
Ai in Railways –
Railways are the most innovative sectors of economy and major industrial revolution. Railways are the second biggest network after web.
AI improve infrastructure, manufacture, maintenance and other work for rail transports. It helps with power cost, safe, effective and a big competition to other modes of transportation.
automated metro trains is the best use case of AI in railways where the source, the stance, point of stay, minute of stay reduce the complexity of this use case.
