“…The use of data in making an informed decision by understanding the accident risk area in the cities is important as a key to traffic safety management. Over the years, studies related to road accidents were carried out in most countries such as Iran (Soltani & Askari, 2014;Soltani & Askari, 2017;Zangeneh et al, 2018), China (Cheng et al, 2018;Fan et al, 2018), United Kingdom (Anderson, 2009;Aljofey & Alwagih, 2018;Kazmi et al, 2020), Indonesia (Sitohang & Merni, 2020), Vietnam (Le et al, 2020), Malaysia (Musdholifah & Hadhim, 2013;Shahid et al, 2015) and many more. Thus, many researchers have contributed to road accident studies in identifying the accident hotspot sites using analysis such as spatial-temporal clustering of Geographical Information System (GIS) (Kavgisiv et al, 2015;Zangeneh et al, 2018;Lakshmi et al, 2019;Kazmi, 2020), Kernel Density Estimation (Musdholifah & Hadhim, 2013;Fan et al, 2018), Triangular Kernel Clustering (Asadi & Pegun, 2019), Deep Embedded Clustering (Shahido et al, 2015, K-Means Clustering (Ghadi & Thorok, 2020;Sitohang & Merni, 2020) and many others.…”