Smart roads: how AI in transportation keeps drivers safe

Smart roads in AI refers to a concept in which roads are equipped with sensors and other technologies that allow them to collect data, communicate with vehicles and infrastructure, and respond to traffic and other conditions in real-time. The AI technologies are used in transportation to improve safety, efficiency, and the overall experience of the road system.

“Smart roads in the future”, art generated by AI

What are the key functions and innovative technologies of the smart roads?

These are some few examples of technologies that might be used in smart roads:

  • Vehicle-to-infrastructure (V2I) communication systems, which allow vehicles to communicate with the road and other infrastructure, such as traffic signals and road signs.
  • Road weather sensors, which can detect conditions like ice and snow and provide alerts to drivers to adjust their speed and behavior accordingly.
  • Intelligent transport systems (ITS), which use data from these sensors and other sources to manage traffic flow and improve safety.
  • Advanced driver assistance systems (ADAS): These systems use sensors and cameras to monitor the vehicle’s surroundings and provide alerts and assistance to the driver to help them avoid accidents. For example, collision avoidance systems use radar or lidar to detect potential collisions and automatically apply the brakes or steer the vehicle to avoid a collision.
  • Electric vehicle charging stations, which can be integrated into the road surface or infrastructure to allow electric vehicles to charge while driving.

Latest developments of smart roads

Electrical circuit corresponding to the road network

Overall, the goal of smart roads is to create a more efficient and safe transportation system. By using the latest AI developments it aims to improve the flow of traffic, reduce accidents, and enhance the overall driving experience.

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