TrafficKarma: Estimating Effective Traffic Indicators using Public Data

Kireet Pant, Dibyendu Talukder, Pravesh Biyani
{"title":"TrafficKarma: Estimating Effective Traffic Indicators using Public Data","authors":"Kireet Pant, Dibyendu Talukder, Pravesh Biyani","doi":"10.1145/2778865.2778871","DOIUrl":null,"url":null,"abstract":"TrafficKarma optimizes the use of publicly available information to monitor and estimate traffic data in order to map and visualize it for its effective use. This is achieved by using state of the art optimization and machine learning techniques coupled with insightful visualization of the data. Traffic Karma can be used by authorities in transportation, traffic police and various agencies that needs current(online) or past(statistical) information about traffic. This paper will concisely explain the features of the application proposed, strategy, data sources and methodology, system architecture and the data analysis techniques used.","PeriodicalId":116839,"journal":{"name":"Proceedings of the 2nd IKDD Conference on Data Sciences","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd IKDD Conference on Data Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2778865.2778871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

TrafficKarma optimizes the use of publicly available information to monitor and estimate traffic data in order to map and visualize it for its effective use. This is achieved by using state of the art optimization and machine learning techniques coupled with insightful visualization of the data. Traffic Karma can be used by authorities in transportation, traffic police and various agencies that needs current(online) or past(statistical) information about traffic. This paper will concisely explain the features of the application proposed, strategy, data sources and methodology, system architecture and the data analysis techniques used.
TrafficKarma:使用公共数据估计有效的交通指标
TrafficKarma优化了对公共信息的使用,以监测和估计交通数据,以便将其映射和可视化,以便有效利用。这是通过使用最先进的优化和机器学习技术以及富有洞察力的数据可视化来实现的。交通部门、交通警察和各种需要当前(在线)或过去(统计)交通信息的机构可以使用Traffic Karma。本文将简要说明所提出的应用程序的特点,策略,数据来源和方法,系统架构和使用的数据分析技术。
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 求助全文
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