NIT Rourkela Developed AI Model to Enhance Road Safety Through Car-to-Car Interaction

NIT Rourkela has developed AI model for betterment of road safety by enabling communication between vehicles. Know details here 

NIT Rourkela AI Model

National Institute of Technology Rourkela, researchers have received a patent for a model that aims to improve how vehicles communicate with each other in future. The patent, titled “Adaptive Contention Window Optimisation in VANETs using Multi-Agent Deep Reinforcement Learning for Enhanced Performance Model”, has been filed by Dr. Arun Kumar, Assistant Professor; Prof. Bibhudatta Sahoo, Professor, and Dr. Lopamudra Hota, Research Graduate, Department of Computer Science & Engineering, NIT Rourkela. Their work focuses on addressing a challenge in vehicular communication systems, known as Vehicular Ad-Hoc Networks, or VANETs.

The concept behind VANETs is that vehicles which are in proximity to each other will in future be able to communicate directly to each other. Consider a car warning other vehicles about precipitous braking or a sudden obstacle on the road. Such communication aids driving, automated traffic systems, and even provides assistance to emergency services. However, when multiple vehicles are contemporaneously sending out messages, the system is bound to face vehicle overcrowding. This congestion leads to delays or lost messages, which directly compromises the viable functionality of such systems.

Researchers at NIT Rourkela have suggested a solution that involves the use of artificial intelligence. Their model utilises a system known as multi-agent deep reinforcement learning. In layman's terms, it enables each vehicle to stagger the time of its messages depending on the actions of other vehicles. Instead of communication competing, the vehicles system learns to sequence and give priority to messages that are time sensitive.

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