TrafficKarma: Estimating Effective Traffic Indicators using Public Data

Kireet Pant, Dibyendu Talukder, Pravesh Biyani
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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.
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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。
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