IDENTIFYING TRAFFIC CONFLICT POINT USING GIS

Abstract

According to the NCRB report, this has been found that 328 persons lose their lives every day on average, despite the COVID-19 lockdown and overspeeding was found to be the cause of more than 60% of road accidents. This leads to the emergent need of creating a life saving phenomenon for a safe environment for society as loss of life is a huge problem around the globe and can impact emotional balance as well as the economic and harmonic loss for the country. This study focuses on developing an Application Programming Interface (API) system API that may notify users when they are about to enter an accident-prone zone. We have developed a code using Python programming language. Afterwards, we have used four distance formulae to translate the difference in latitude and longitude between two sites into the distance as an input which can be compared to any threshold. It was one kilometre in this case. Furthermore, we constructed buffer zones and major crossings, and junctions for visualizing the current scenarios and compared the data obtained from users via a circulating Google form with the standard data accessible from the Delhi government's report. Findings show the successful testing of the code which gives out output messages such as ‘You are probably Safe’ and ‘conflict zone is ahead’ to differentiate between the safe and conflict zone. The future scope of the study can be combined to study to define the high and low-risk zones based on the number of accidents published in annual government reports. This can also be further developed into a full-fledged mobile live application using different web mapping platforms.