基于区块链技术的行车安全奖励

Sruthi Rachamalla, H. Hexmoor
{"title":"基于区块链技术的行车安全奖励","authors":"Sruthi Rachamalla, H. Hexmoor","doi":"10.29007/pb3c","DOIUrl":null,"url":null,"abstract":"TheThe driver safety is given an utmost importance in the Transportation system. Road safety is mostly dependent on the all driver’s on road and their behavior. Aggressive driving behavior such as speed, braking, accelerations etc are some of the major factors contributing to the safety which can jeopardize human lives if a fatality occurs. To improve the safety of drivers and other road users, we proposed a framework which ranks and re- wards the driver’s behavior for each day in crypto tokens. Existing frameworks emphasizes on analyzing or ranking the behavior, however monetizing driver’s behavior will improve the driver’s discipline. A randomized simulated traffic is used to extract the both friendly and aggressive driving patterns and provide test crypto tokens based on them.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"DSRBT - Driving Safety Reward based on Blockchain Technology\",\"authors\":\"Sruthi Rachamalla, H. Hexmoor\",\"doi\":\"10.29007/pb3c\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"TheThe driver safety is given an utmost importance in the Transportation system. Road safety is mostly dependent on the all driver’s on road and their behavior. Aggressive driving behavior such as speed, braking, accelerations etc are some of the major factors contributing to the safety which can jeopardize human lives if a fatality occurs. To improve the safety of drivers and other road users, we proposed a framework which ranks and re- wards the driver’s behavior for each day in crypto tokens. Existing frameworks emphasizes on analyzing or ranking the behavior, however monetizing driver’s behavior will improve the driver’s discipline. A randomized simulated traffic is used to extract the both friendly and aggressive driving patterns and provide test crypto tokens based on them.\",\"PeriodicalId\":93549,\"journal\":{\"name\":\"EPiC series in computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EPiC series in computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29007/pb3c\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EPiC series in computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29007/pb3c","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在交通运输系统中,驾驶员的安全是极为重要的。道路安全在很大程度上取决于道路上所有驾驶员的行为。攻击性驾驶行为,如速度、刹车、加速等是影响安全的一些主要因素,如果发生死亡事故,可能会危及人类生命。为了提高驾驶员和其他道路使用者的安全性,我们提出了一个框架,该框架以加密令牌的形式对驾驶员每天的行为进行排名和奖励。现有的框架强调对驾驶员的行为进行分析或排序,而将驾驶员的行为货币化将提高驾驶员的纪律性。通过随机模拟交通,提取友好驾驶模式和攻击性驾驶模式,并在此基础上提供测试加密令牌。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
DSRBT - Driving Safety Reward based on Blockchain Technology
TheThe driver safety is given an utmost importance in the Transportation system. Road safety is mostly dependent on the all driver’s on road and their behavior. Aggressive driving behavior such as speed, braking, accelerations etc are some of the major factors contributing to the safety which can jeopardize human lives if a fatality occurs. To improve the safety of drivers and other road users, we proposed a framework which ranks and re- wards the driver’s behavior for each day in crypto tokens. Existing frameworks emphasizes on analyzing or ranking the behavior, however monetizing driver’s behavior will improve the driver’s discipline. A randomized simulated traffic is used to extract the both friendly and aggressive driving patterns and provide test crypto tokens based on them.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.60
自引率
0.00%
发文量
0
期刊最新文献
ARCH-COMP23 Category Report: Hybrid Systems Theorem Proving ARCH-COMP23 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics ARCH-COMP23 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics ARCH-COMP23 Repeatability Evaluation Report ARCH-COMP23 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
×
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