smart-road

I've recently focused my efforts on developing the frontend components of the project, dedicating time to crafting an engaging and user-friendly interface. While the frontend is shaping up nicely, it's essential to note that the backend development is still a work in progress. I'm actively working on implementing the necessary functionality, ensuring a seamless connection between the frontend and backend components. Your patience is greatly appreciated as I continue to refine and complete the full end-to-end experience. Stay tuned for updates on the backend development progress. Thank you for your understanding and enthusiasm for the project!

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Objectives

- Overused intersections might lead to severe traffic jams on multiple roads, which wastes drivers' time and money and causes unnecessary air pollution. Additionally, according to a study from the National Highway Traffic Safety Administration in the U.S., it is reported that about 96% of the intersection-related crashes had critical reasons to be the driver's fault, such as inadequate surveillance, false assumption of other actions, and turns with an obstructed view.

Autonomous vehicles(AVs) are a promising solution to traffic accidents. An optimistic prediction is that AVs will be publicly available in the next decade, and thus traffic issues related to autonomous vehicles are also being extensively investigated.

Current intersection management strategies, such as the traditional traffic lights and other more advanced methods, are designed exclusively for human drivers. With the rapid development of AVs, new traffic strategies must be taken into account. This is where you come in. You will have to create this new traffic strategy algorithm so that AVs can pass an intersection without any collisions and with a minimum of traffic congestion.

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Link to the repository:
https://github.com/tathienbao/smart-road-side.git