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- W2891877323 abstract "Traffic congestion is an omnipresent problem which is faced by every big city where irregular traffic incidences increase the misery of road users in a disproportionately large manner. Traffic congestions can be regulated through simulating and enhancing traffic control with improved traffic management which is also known as traffic monitoring. Traffic-related Big Data gathered from sensors reflect some new characteristics such as multisource, high volume, heterogeneity, high velocity, continuity and spatio-temporal. Such type of datasets generated in real time need to be stored in databases in a scalable manner in order to provide congestion status of traffic to commuters timely. In this paper, NoSQL databases are highlighted as a successor to the traditional databases followed by enlisting their features and types. A tabular comparison concerning different data stores in terms of their features is given for better understanding and in-depth analysis of each type for their possible application in concerned research area." @default.
- W2891877323 created "2018-09-27" @default.
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- W2891877323 date "2018-09-08" @default.
- W2891877323 modified "2023-09-27" @default.
- W2891877323 title "Study of NoSQL Databases for Storing and Analyzing Traffic Data" @default.
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- W2891877323 doi "https://doi.org/10.1007/978-981-13-1217-5_56" @default.
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