MODEL OF PREVENTION OF TRAFFIC ACCIDENTS
Abstract
Traffic accidents are a leading indicator of the level of road safety. In developed countries safety problems are a very considered problem in order to reduce the problem of accidents that occur. The high number of traffic accidents is caused by several factors, but the most dominant are human factors. Many accidents occur on the road due to traffic accidents, this is because many people do not yet know the meaning or purpose of the signs on the road, and the community does not understand the meaning of signs for the community regarding participation in approving traffic signs. The research objectives are 1) Overcoming Traffic Accidents Experiencing Cross-Road Traffic Accidents 2) Making Traffic Accident Models Through Education For Drivers / Pedestrians. The research in this discussion uses a qualitative descriptive method. There are 5 causes of traffic accidents, namely: Human Error Factors, Traffic Sign Factors, Road Factors, Motor Vehicle Factors, Natural Factors. Efforts to prevent traffic accidents can be done with education through videotron, pocketbooks and media online for road users traffic and related parties about driving safety behavior and traffic ethics, the unique trendy accessories and shirts with technology reflectors to the safety of road traffic, the preparation of a database of traffic accident, spot make eco smart trafficlight as a violation of traffic lights, detection make the notification system the traffic signal an android in every motor vehicles to reduce traffic offenses, building the technology for detecting the shock drowsiness on the motorist with a system computer vision as a step minimalisir traffic accidents, make the system intelligent transportation for traffic, community empowerment bikers as role models a pioneer of orderly traffic
Keywords: Traffic, Accidents.
Traffic accidents are a leading indicator of the level of road safety. In developed countries safety problems are a very considered problem in order to reduce the problem of accidents that occur. The high number of traffic accidents is caused by several factors, but the most dominant are human factors. Many accidents occur on the road due to traffic accidents, this is because many people do not yet know the meaning or purpose of the signs on the road, and the community does not understand the meaning of signs for the community regarding participation in approving traffic signs. The research objectives are 1) Overcoming Traffic Accidents Experiencing Cross-Road Traffic Accidents 2) Making Traffic Accident Models Through Education For Drivers / Pedestrians.The research in this discussion uses a qualitative descriptive method. There are 5 causes of traffic accidents, namely: Human Error Factors, Traffic Sign Factors, Road Factors, Motor Vehicle Factors, Natural Factors. Effortsto prevent traffic accidents can bedone with education through videotron, pocketbooks and media online for road users traffic and related parties about driving safety behavior and traffic ethics, the unique trendy accessories and shirts with technology reflectors to the safety of road traffic, the preparation of a database of traffic accident, spot make eco smart trafficlight as a violation of traffic lights, detection make the notification system the traffic signal an android in every motor vehicles to reduce traffic offenses, building the technology for detecting the shock drowsiness on the motorist with a system computer vision as a step minimalisir traffic accidents, make the system intelligent transportation for traffic, community empowerment bikers as role models a pioneer of orderly traffic Keywords: Traffic, Accidents.Full Text:
PDFReferences
Basumerda, C., 2014, Pengaruh Jenis Edukasi Keselamatan Berkendara Terhadap Pemahaman Calon Pengendara Mobil Dalam Menghadapi Konflik Lalu Lintas, Tesis Program Studi Pascasarjana Teknik Industri Universitas Gadjah Mada, Yogyakarta.
Chen, C.F., 2009, Personality, Safety Attitudes And Risky Driving Behaviors-Evidence From Young Taiwanese Motorcyclists, Accident Analysis and Prevention, 41, 963-968.
Crundall, D., Andrews B., Loon E., Chapman P., 2010, Commentary Training Improves Responsiveness to Hazards in a Driving Simulator, Accident Analysis and Prevention 42, 2117-2124.
Dephub, 2009.UU No. 22 tahun 2009 tentang Lalu Lintas dan Angkutan Jalan. [Sitasi 10 Oktober 2017].
Dian Tiara (2017) Pengaruh Jenis Edukasi Terhadap Performansi Pengemudi dengan Karakter Risk Taker . Forum Teknik Vol. 37, No. 1, Januari 2017. Pascasarjana Teknik Industri, Fakultas Teknik, Universitas Gadjah Mada
Gregersen, N.P., Engstrom, I., Hernetkoski,K., dan Nyberg, A., 2003, Young Novice Drivers, Driver Education And Training Literature Review, VTI rapport 491A, Swedish National Road and Transport Research Institute, Linkoping.
Haryoko, S., 2009, Efektivitas Pemanfaatan Media Audio Visual Sebagai Alternatif Optimalisasi Model Pembelajaran, Jurnal Edukasi, vol 5 no 1.
JawaPos.com, 2018. 2018, Pelanggar Lalu Lintas di Surabaya Naik 9 Persen. 31 Desember 2018.
Kompasiana.com, 2019. Tanpa Rambu Lalu Lintas, Amankah?. 5 Desember 2018
Kusumadewi, S., Hardjajani, T., & Priyatama, A.N. (2012).The correlation between The Social Support of Peer Group and Self-control Towards The Obedience of The Rule in The Teenage Girls of The Assalam Modern Islamic Boarding School Sukoharjo. Surakarta: Program Studi Psikologi Fakultas Kedokteran Universitas Sebelas Maret. [Sitasi 24 Juli 2018].
Maya, Simamora, A,(2011),Analisa Kecelakaan Lalu Linta Di Jalan Tol Belmera,Tugas Akhir, Jurusan Teknik Sipil, Universitas Sumatera Utara. MedanDefia Rosalina Anwar, 2018. Analisis Risiko Kecelakaan Lalu Lintas Berdasar Tipe Kepribadian Dan Pelanggaran Pada Pengendara Sepeda Motor. The Indonesian Journal of Public Health, Vol. 12 No. 2, Desember 2018: 179–189
Miles, Matthew B., dan Huberman, A.Michael. 1992. Analisis data kualitatif Terj. Tjejep. Rohidi. Jakarta : UI Press,
Nabi, Sila, Franchois, Chiron, Lafont & Emanuel. 2005. Type A Behavior Pattern, Risky Driving Behavior and Serious Road Traffi c Accident: A Prospective Study of the Gazel Cohort.American Journal of Epidemiology.[Sitasi 28 Juli 2018].
National Highway Traffic Safety Administration, 2009, TRAFFIC SAFETY FACTS 2009: A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System, U.S. Department of Transportation, Washington, DC 20590.
Reason, J., Manstead, A., Stradling, S.,Baxter, J., dan Campbell, K., 1990, Errors And Violations On The Roads: A Real Distinction? Ergonomics, 3 3 .1315-1332.
RTMC DITLANTAS POLDA JATIM.
TribunJatim.com, 2019. 45 Persen Kecelakaan Lalu Lintas Di Surabaya Libatan Anak Milenial, Karena Terburu-Buru & Alkohol
Utari, Gineung Cynthia. 2010, Hubungan Pengetahuan, Sikap, Persepsi Dan Keterampilan Mengendara Mahasiswa Terhadap Perilaku Keselamatan Berkendara (Safety Riding) Di Universitas Gunadarma Bekasi. Skripsi. UIN Syarif Hidayatullah Jakarta.
WHO. 2015. Global Status Report on Road Safety 2015. Geneva: Management of Noncommunicable Diseases, Disability, Violence, and Injury Prevention (NVI). Tersedia di [Sitasi 27 Juli 2018].
Wright, T.P., 1936, Factors Affecting the Cost of Airplanes, Journal of the Aeronautical Sciences, 3(4), 122-128.
DOI: https://doi.org/10.32528/pi.v0i0.2547
Copyright (c) 2019 Prosiding ICOGISS 2019