Collision Avoidance & Navigation System using AIS
Aman Bansal
IIT Roorkee

Key Highlights
- AIS offers real-time data about vessels, such as their location, direction, speed, and identification.
- The proposed AIS-based Collision Avoidance and Navigation System has substantial potential to elevate safety in busy maritime conditions.
The goal of the Collision Avoidance and Navigation System utilizing the Automatic Identification System (AIS) is to improve safety in maritime settings by harnessing AIS technology. AIS offers real-time data about vessels, such as their location, direction, speed, and identification. This information can be harnessed to create a smart system for avoiding collisions and navigating in busy maritime areas. This study suggests an extensive approach that combines AIS data with advanced algorithms and decision-making methods to foresee collision risks and assist in safe navigation.
The system uses past AIS data to study trends and pinpoint potential collision scenarios based on factors like vessel proximity, converging courses, and relative speeds. By integrating machine learning and data analysis, the system can generate a Collision Risk Index (CRI) for each vessel, indicating the level of collision risk it faces. This data can then be used to offer early alerts and suggestions to ship operators, enabling them to take proactive steps to prevent collisions. Furthermore, the system incorporates clever routing algorithms that incorporate the predicted collision risks to propose safer and more efficient vessel routes. By considering real-time AIS data, weather conditions, and traffic density, the system can optimize routes to decrease collision risks and enhance overall maritime safety.
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Aman Bansal
IIT Roorkee
Aman Bansal completed the Bachelor of Technology studies from IIT Roorkee. He has interest in Data Analytics and Software Development and has previously worked on Rainfall Data of Himalayan Region to find relationship between landslides and rainfall and based on the Data Analysis performed published poster in American Geophysical Union in December 2022. In addition, he has worked in startups as a Software Developer as well and is open to challenges where he can apply Software and Data Analytics to take mindful decision.
