MODEL OF PREVENTION OF TRAFFIC ACCIDENTS

I. Ismail, H. Haryono, Permana Tedjo
{"title":"MODEL OF PREVENTION OF TRAFFIC ACCIDENTS","authors":"I. Ismail, H. Haryono, Permana Tedjo","doi":"10.32528/pi.v0i0.2547","DOIUrl":null,"url":null,"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. 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.","PeriodicalId":418015,"journal":{"name":"Prosiding ICOGISS 2019: International Confrence On Governance Innovation And Social Sciences","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Prosiding ICOGISS 2019: International Confrence On Governance Innovation And Social Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32528/pi.v0i0.2547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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. 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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
预防交通事故的典范
交通事故是道路安全水平的主要指标。在发达国家,安全问题是一个非常考虑的问题,以减少事故的发生。交通事故的多发是由多种因素造成的,但最主要的是人为因素。由于交通事故,很多事故发生在道路上,这是因为很多人还不知道道路上的标志的含义或目的,社会不理解标志对于社区参与批准交通标志的意义。研究的目的是:1)克服交通事故中遇到的交通事故;2)通过对驾驶员/行人的教育来制作交通事故模型。本研究采用定性描述方法。造成交通事故的原因有5种,即人为错误因素、交通标志因素、道路因素、机动车因素、自然因素。预防交通事故的努力可以通过视频、笔记本和网络媒体对道路使用者交通和相关方进行有关驾驶安全行为和交通道德的教育,独特的时尚配件和带有技术反射的衬衫来反映道路交通安全,准备交通事故数据库,现场制作生态智能交通灯作为违反交通信号灯。以系统计算机视觉为步骤,构建对驾驶者的冲击嗜睡检测技术,最大限度地减少交通事故,使系统智能交通为交通服务,以社区赋权骑行者为榜样,成为有序交通的先驱。关键词:交通,事故。交通事故是道路安全水平的主要指标。在发达国家,安全问题是一个非常考虑的问题,以减少事故的发生。交通事故的多发是由多种因素造成的,但最主要的是人为因素。由于交通事故,很多事故发生在道路上,这是因为很多人还不知道道路上的标志的含义或目的,社会不理解标志对于社区参与批准交通标志的意义。研究的目的是:1)克服交通事故中遇到的交通事故;2)通过对驾驶员/行人的教育来制作交通事故模型。本研究采用定性描述方法。造成交通事故的原因有5种,即人为错误因素、交通标志因素、道路因素、机动车因素、自然因素。预防交通事故的努力可以通过视频、笔记本和网络媒体对道路使用者交通和相关方进行有关驾驶安全行为和交通道德的教育,独特的时尚配件和带有技术反射的衬衫来反映道路交通安全,准备交通事故数据库,现场制作生态智能交通灯作为违反交通信号灯。以系统计算机视觉为步骤,构建对驾驶者的冲击嗜睡检测技术,最大限度地减少交通事故,使系统智能交通为交通服务,以社区赋权骑行者为榜样,成为有序交通的先驱。关键词:交通,事故。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
THE INFLUENCE OF QUALITY OF SERVICE, FACILITIES AND LOCATION OF CUSTOMER SATISFACTION INVENTORY AND TOURISM OPPORTUNITIES IN SEKUPANG – BATAM DISTRICT MOVING TOWARDS EVALUATION SUSTAINABLE UNIVERSAL HEALTH COVERAGE FINANCE POLICY: A COMPARISON STUDY BETWEEN INDONESIA AND THAILAND COLLABORATIVE GOVERNANCE PERSPECTIVE IN THE DEVELOPMENT OF MICRO SMALL AND MEDIUM BUSINESSES (UMKM) IN BANTUL REGENCY 2017-2018 EUPHORIA OF VILLAGE-OWNED ENTERPRISE (BUM Desa)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1