In this paper, we have developed a similarity query system for road traffic big data, called SigTrac, that runs on top of an existing MongoDB document store.
In this paper, we have developed a similarity query system for road traffic big data, called SigTrac, that runs on top of an existing MongoDB document store.
In this paper, we have developed a similarity query system for road traffic big data, called SigTrac, that runs on top of an existing MongoDB document store.
In this paper, we have developed a similarity query system for road traffic big data, called SigTrac, that runs on top of an existing MongoDB document store.
Querying Road Traffic Data from a Document Store. Abstract: We present a novel system called Extrac for querying a large database of road traffic information.
Missing: similarity | Show results with:similarity
We present a novel system called Extrac for querying a large database of road traffic information. Such traffic data are collected from an ITS (Intelligent ...
Querying Road Traffic Data from a Document Store - ACM Digital Library
dl.acm.org › doi › UCC.2014.63
Dec 8, 2014 · Extrac stores the collected traffic data into a No SQL document database and supports a traffic congestion queries. It adopts a suite of new ...
May 24, 2023 · The trend was NoSql db with mongodb and mongoose.. but now all talk about sql specially postgresql and ORMs like typeorm and prisma.
Missing: road | Show results with:road
A similarity query system for road traffic data based on a NoSQL document store. TI Damaiyanti, A Imawan, FI Indikawati, YH Choi, J Kwon. Journal of Systems ...
This paper proposes an Extrac system which extracts trend of traffic congestions from historical traffic data and answers the queries about the trends and ...
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