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Since the introduction of AI technology in the transportation sector, many things have taken a gradual turn, as AI has brought many improvements. First of all, AI is being used in the prediction of accidents, with companies like Predina utilizing AI to predict crashes based on environmental and other factors. Another great development is the integration of electric vehicles with AI. Electric vehicles greatly aid in reduction of environmental pollution as they have a lower rate of emission. A great example of such a is Connect Transit, which uses electrical buses that are integrated with AI developed by Proterra.

AI has also brought the development of self-driving cars that are able to detect traffic. Self-driving cars will reduce traffic accidents as the AI-equipped vehicle has the ability to detect pedestrian and cyclists’ paths. This by far increases transportation safety. Swift Navigation is a company operating in this area.

AI can be used to reduce traffic congestion in roads resulting in a smooth traffic flow. With the help of AI, traffic management systems Notraffic are used by the city of Los Angeles to control traffic flow. Also, with the aid of AI motorists can be warned about dangerous spots in a certain road or route. AI can also be used to predict security threats and occurrences in traffic.

AI in transportation is at its infancy stage and holds great potential in revolutionising the sector. A factor that has affected the speed of adoption of AI in this area is trust. Lack of trust is further aggravated by lack of proper regulation certification and standardization of AI tools in the transportation sector. However, once public policy on AI has fully matured, adoption of AI in transport will follow, since safety will be assured and consequently trust will be restored.

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