Details and solutions to safety issues at railway LC

Authors

DOI:

https://doi.org/10.56143/dmx3sk88

Keywords:

railway level crossings, safety issues, accident analysis, RStudio, GIS, sensor systems, machine learning

Abstract

Railway level crossings (LC) are critical junctions where road and rail traffic intersect, often becoming hotspots for serious accidents due to technical, human, and infrastructural failures. This study examines safety issues at railway level crossings through a multi-method approach that includes statistical analysis, GIS mapping, and case study evaluations. Using RStudio for data visualization and statistical modeling, we analyze patterns of incidents and explore viable solutions. The findings indicate that automation, public awareness campaigns, and sensor-based early warning systems significantly reduce accident rates. It also shows that building modern and safe level crossings using IoT and AI is an urgent need. Recommendations for future infrastructure planning and policy reforms are proposed.

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Published

2026-04-10

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Статьи