Open AccessClustering the vulnerability of traffic accidents in Medan city with fuzzy c-means algorithm
Author(s) -
Khalida Syahputri,
Rahayu Mayang Sari,
I Rizkya,
Ukurta Tarigan,
Ikhsan Siregar,
T. A. Farhan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/801/1/012030
Subject(s) - traffic accident , traffic police , vulnerability (computing) , capital city , cluster analysis , transport engineering , business , computer science , geography , computer security , engineering , medicine , artificial intelligence , nursing , economic geography
A traffic accident is one of the global problems that needs serious handling. Traffic accidents happens in various places at different times, this thing causes the difficulty to determine which area has traffic accidents-prone. Information about traffic accidents-prone areas is very needed for the people and regulators. That information can be a consideration for supervision or anticipation, especially for the police. Medan is the capital city of Sumatera Utara province, Indonesia. Medan is the third-largest city di Indonesia after Jakarta and Surabaya also the largest outside Java Island. Medan is one of the cities in Indonesia that has traffic accidents problems. 25,08% of all the traffic accidents in Sumatera Utara province in 2016 happened in Medan. 2018’s traffic accidents data acquired from the traffic unit in Medan Police Office shows a total of 947 traffic accidents that causes 148 died, 456 peoples heavily injured, and 616 people lightly injured. Then, this data is grouped based on the road they happened on and then the grouped data is clustered with the Fuzzy C-Means Algorithm based on the severity of the accidents, resulting in 5 roads being very vulnerable, 14 roads being quite vulnerable, and 224 roads being safe.