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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM27037
Volume:
7 |
11 |
Nov 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This paper proposes a mechanism for detecting railway track cracks. More specifically, this work provides a detection system that may use a microcontroller-based smart bot to find any fractures or disjoints in railway rails. Only railroads are used to convey the majority of commodities from one location to another because of their affordable transportation costs, speed, dependability, and minimal accident risk. Many individuals choose trains over automobiles for long-distance travel because trains are far more pleasant and cost significantly less. Therefore, it is imperative to guarantee the safety of the railway lines for the aforementioned reasons. As a result, a sophisticated technology-based bot is created that can find flaws or gaps in the tracks and safeguard the trains from any accident. The majority of commercial transportation in India is conducted via the railway network, which is the least expensive type of network, rather than any other mode of transportation, such as cruises, buses, and flights. Indian Rails, which presently acts as the foundation of the nation’s transport network, is the largest rail passenger carrier in the world. Indian Railways is still expanding in an attempt to support the country’s economic needs. The safety infrastructure facilities have not kept up with the aforementioned proliferation, despite the rapid expansion of Indian railways. Because our facilities do not meet international standards, there is often a significant loss of property and valuable human lives due to derailments. Derailments make up 60% of all rail accidents, and 90% of these derailments are due to track cracks, according to surveys and analyses about the causes of rail accidents.
KEYWORDS
Publication Date
11/26/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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