@article{ref1,
title="Statistical analysis of crash data and impact of COVID-19 on road crashes in Maharashtra, India",
journal="Journal of engineering and applied science",
year="2023",
author="Mhetre, Krantikumar V. and Thube, Aruna D.",
volume="70",
number="1",
pages="e24-e24",
abstract="This study analyzes crash data from 2016 to 2020 on a National Highway in Maharashtra, India. The impact of the COVID-19 lockdown on the road crashes of the study area is presented, and recommendations to improve road safety are proposed. The crash data is collected from the &quot;National Highways Authority of India, Kolhapur&quot; from 2016 to 2020, and the information is classified into three scenarios: Before Lockdown, After Lockdown, and Strict Lockdown. The crash data is analyzed under three scenarios for seven different classifications followed by their sub-classifications. The time-wise analysis of crash data is performed in four-time slots, namely 00:00-05:59 AM, 06:00-11:59 AM, 12:00-17:59 PM, and 18:00-23:59 PM. The season-wise analysis of crash data is performed in three seasons: Summer, Monsoon, and Winter.   The crashes that occurred on 2-lane-straight roads having T-junction are more than 90% in all three scenarios. The significant factors responsible for crashes are &quot;Head-on collision,&quot; &quot;Vehicle out of control,&quot; and &quot;Overspeeding.&quot; Most crashes (more than 36%) occurred between 12:00 and 17:59 PM and in the Summer season (more than 42%) in all three scenarios. The crashes in the COVID-19 &quot;Strict Lockdown&quot; scenario witnessed a fall of 254.55% compared to 2019 and 2018. Surprisingly, there was a rise of 137.5% and a fall of 127.27% in crashes of the COVID-19 2020 &quot;Strict Lockdown&quot; scenario, compared to 2017 and 2016, respectively. The crashes under the sub-classifications &quot;Right angle collision&quot; and &quot;Fatal&quot; increased in 2020 compared to the previous 4 years due to the impact of COVID-19.  Keywords: CoViD-19-Road-Traffic <p /> <p>Language: en</p>",
language="en",
issn="2536-9512",
doi="10.1186/s44147-023-00194-9",
url="http://dx.doi.org/10.1186/s44147-023-00194-9"
}