Spreading Awareness of Attenuating Vehicular Speed After Lifting of Covid-19 Lockdown using Web-Based Estimation of Visual Reaction Time for Primary Prevention of Road Traffic Collision

Abstract

Prashant Rajdeep, Lajja Patel, Steffy CD, Preeti Panchal

Objectives: Attenuating the vehicular speed after lifting of lockdown during Covid-19, by employing visual reaction time (RT) as a tool to prime citizens for creating decorum of driving and checking the road traffic fatalities.
Background: It is indispensable to curb the driving speed post lockdown to avoid accidents. Even though, the impact of inactivity on RT has been well established, an insight into the new method can deal with the gross issue of road traffic casualty worldwide.
Method: Using a web-based platform (http://physicsiology.com), RT was derived by visual stimulation test. Of which, the slowest and the fastest RT were obtained. Using these and prefeed average vehicular speed before lockdown in the website the post lockdown vehicular speed were quantified for the participant. Apart from spreading awareness the website has also collected data for age and days of lockdown. Results- Compared to pre lockdown vehicular speed, reduced post lockdown speed was well calculated and suggested. Furthermore, from 643 participants, there was a correlation between RT, age, and days of lockdown.
Conclusion: Containment of speed can be achieved through RT to prime people for prevention of road traffic collision after lifting of Covid-19 lockdown.

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