道路状况监测与分级系统

{"title":"道路状况监测与分级系统","authors":"","doi":"10.46243/jst.2020.v5.i5.pp64-69","DOIUrl":null,"url":null,"abstract":"India has the highest number of two-wheeler riders in the entire world. As Indians think that twowheelers are more convenient a lot of people use them for their daily activities. Delivery boys for a lot of companies\nalso prefer to use a two-wheeler as it is more economically convenient. Along with this, people also use twowheelers for rushing to the workplace avoiding a lot of traffic. The majority of these people can be classified as\nyoung adults. A lot of people complain about back issues due to the bad road conditions that they face while\ntravelling every day. Our system uses the sensor consisting of the accelerometer and the gyroscope to analyze the\ncondition of the road and classify how bad the current condition of the road actually is. The system will not only\nclassify the road as good or bad but also provide a rating to the road based on how severe the condition of the road\nactually is. The sensors will be calibrated according to a particular vehicle which will be beneficial for the rider.\nThe system will also provide the best option of the road from travelling from point A to point B provided if there are\nmultiple options available and the analysis of all the options has been done previously.","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Road Condition Monitoring with Grading System\",\"authors\":\"\",\"doi\":\"10.46243/jst.2020.v5.i5.pp64-69\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"India has the highest number of two-wheeler riders in the entire world. As Indians think that twowheelers are more convenient a lot of people use them for their daily activities. Delivery boys for a lot of companies\\nalso prefer to use a two-wheeler as it is more economically convenient. Along with this, people also use twowheelers for rushing to the workplace avoiding a lot of traffic. The majority of these people can be classified as\\nyoung adults. A lot of people complain about back issues due to the bad road conditions that they face while\\ntravelling every day. Our system uses the sensor consisting of the accelerometer and the gyroscope to analyze the\\ncondition of the road and classify how bad the current condition of the road actually is. The system will not only\\nclassify the road as good or bad but also provide a rating to the road based on how severe the condition of the road\\nactually is. The sensors will be calibrated according to a particular vehicle which will be beneficial for the rider.\\nThe system will also provide the best option of the road from travelling from point A to point B provided if there are\\nmultiple options available and the analysis of all the options has been done previously.\",\"PeriodicalId\":23534,\"journal\":{\"name\":\"Volume 5, Issue 4\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Volume 5, Issue 4\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46243/jst.2020.v5.i5.pp64-69\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 5, Issue 4","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46243/jst.2020.v5.i5.pp64-69","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

印度是世界上骑两轮车最多的国家。由于印度人认为两轮车更方便,很多人在日常活动中使用它们。许多公司的快递员也更喜欢使用两轮车,因为它更经济方便。与此同时,人们也使用两轮车去上班,避免了大量的交通。这些人中的大多数可以被归类为年轻人。许多人抱怨由于他们每天旅行时遇到的糟糕的道路状况而导致的背部问题。我们的系统使用由加速度计和陀螺仪组成的传感器来分析道路状况,并对当前道路的实际状况进行分类。该系统不仅会对道路进行好与坏的分类,还会根据道路的实际情况对道路进行评级。传感器将根据特定的车辆进行校准,这将有利于骑手。该系统还将提供从A点到B点的最佳道路选择,前提是有多个可用的选择,并且之前已经对所有选择进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Road Condition Monitoring with Grading System
India has the highest number of two-wheeler riders in the entire world. As Indians think that twowheelers are more convenient a lot of people use them for their daily activities. Delivery boys for a lot of companies also prefer to use a two-wheeler as it is more economically convenient. Along with this, people also use twowheelers for rushing to the workplace avoiding a lot of traffic. The majority of these people can be classified as young adults. A lot of people complain about back issues due to the bad road conditions that they face while travelling every day. Our system uses the sensor consisting of the accelerometer and the gyroscope to analyze the condition of the road and classify how bad the current condition of the road actually is. The system will not only classify the road as good or bad but also provide a rating to the road based on how severe the condition of the road actually is. The sensors will be calibrated according to a particular vehicle which will be beneficial for the rider. The system will also provide the best option of the road from travelling from point A to point B provided if there are multiple options available and the analysis of all the options has been done previously.
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
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信