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A Model for Automatic Threshold Fixation for Boat Accidents Prediction

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Abstract

Major earth surface contains oceans, rivers, canals. In several of the states, transport through rivers could be a lifeline for many individuals. But, this vital mode of transport is ridden with tragic disasters and witness a large loss of human lives. Whenever any boat accident happens, overloading of passengers, accomplishment of unskilled crews, poor weather square measure pointed as a root cause. In a gift situation, there is no system to alert the boat masters regarding atmospheric conditions after the square measure in the middle of the stream. So, we tend to try to achieve the individuals by providing the knowledge of the natural calamities at a specific space and alert the individuals so as to avoid tragic disasters. This requires a platform i.e., a webpage/Application to perform all the functions. Andhra Pradesh State Disaster Management Authority (APSDMA) is making an attempt to help the individuals by providing information of the natural disaster at a selected space and alert the individuals at the particular space. Finding the threshold from the parameters like rainfall, water level, temperature etc., (i.e., most worth for safety) that indicates boats to not enter such explicit areas when crossing the maximum limit. It gives a complete framework on the Early Warning System, forecasting, Safety Standards. These tips give some way forward to reduce the accidents occurring due to poor atmospheric conditions.

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Correspondence to S. Vasavi.

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This article is part of the topical collection “Data Science and Communication” guest edited by Kamesh Namudri, Naveen Chilamkurti, Sushma S J and S. Padmashree.

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Vasavi, S., Sowjanya, G., Vamsi, B. et al. A Model for Automatic Threshold Fixation for Boat Accidents Prediction. SN COMPUT. SCI. 2, 144 (2021). https://doi.org/10.1007/s42979-021-00549-0

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