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Road Traffic Violations based on Intelligent Transportation Systems (ITS)
Arman Syah Putra (a*), Safrizal (b)

a) Computer Science Department, BINUS Graduate Program - Doctor of Computer Science, Bina Nusantara university
Jakarta, Indonesia 11480 *arman.putra[at]binus.ac.id
b) Computer Science Department, BINUS Graduate Program - Doctor of Computer Science, Bina Nusantara university
Jakarta, Indonesia 11480 *safrizal001[at]binus.ac.id


Abstract

Current traffic conditions, can not be predicted anymore, from natural conditions and accidents on the road, all conditions that occur every day on the highway, accidents increase every year, with conditions like this the government is directly involved in decision makers, many make regulations in dealing with traffic violations, but still many violations occur and accidents continue to occur on the road. This study uses data mining methods, with a very deep data search, will be able to find the source of the problem and can provide proposals that can be applied in the future, with various proposals expected to produce regulations that can make people aware of traffic regulations so that awareness will be traffic security for ones own safety. The end of the purpose of this study, will provide suggestions that violations on the road can be reduced, especially accidents, after searching for in-depth data will produce a framework with maximum results. The conclusion of this paper explains that the habits of motorists can be changed, with the human side being lifted into government regulations that will make regulations will be able to make people feel reluctant but not feared, and his proposal can make people aware of orderly traffic.

Keywords: Traffic Violations, Accidents, Data Mining

Topic: Informatic and Information System

Link: https://ifory.id/abstract/FprJcGhejD6E

Conference: 2nd International Conference on Informatics, Engineering, Science and Technology (INCITEST 2019)

Plain Format | Corresponding Author (ARMAN SYAH PUTRA)

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