Vehicle Location Prediction System Based on Historical Data Article Swipe

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Tarak Nandy , Rafidah Md Noor , Mohd Yamani Idna Idris , Sananda Bhattacharyya ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.36227/techrxiv.12866978.v1

This work is based on the vehicle positioning system using the statistical approaches. Moreover, the method does not depend on the real time devices such as GPS, or networking technologies.

Related Topics

Global Positioning System

Computer Science

Work (Physics)

Engineering

Mechanical Engineering

Concepts

Global Positioning System Computer science Real-time computing Work (physics) Automatic vehicle location Telecommunications Engineering Mechanical engineering

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Type: preprint
Language: en
Landing Page: https://doi.org/10.36227/techrxiv.12866978.v1
PDF: https://www.techrxiv.org/articles/preprint/Vehicle_Location_Prediction_System_Based_on_Historical_Data/12866978/files/24460319.pdf
OA Status: gold
Cited By: 1
References: 13
Related Works: 10
OpenAlex ID: https://openalex.org/W3081596797

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OpenAlex ID: https://openalex.org/W3081596797

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DOI: https://doi.org/10.36227/techrxiv.12866978.v1

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Title: Vehicle Location Prediction System Based on Historical Data

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Type: preprint

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Language: en

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Publication year: 2020

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Publication date: 2020-08-31

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Authors: Tarak Nandy, Rafidah Md Noor, Mohd Yamani Idna Idris, Sananda Bhattacharyya

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Landing page: https://doi.org/10.36227/techrxiv.12866978.v1

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PDF URL: https://www.techrxiv.org/articles/preprint/Vehicle_Location_Prediction_System_Based_on_Historical_Data/12866978/files/24460319.pdf

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OA status: gold

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OA URL: https://www.techrxiv.org/articles/preprint/Vehicle_Location_Prediction_System_Based_on_Historical_Data/12866978/files/24460319.pdf

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Concepts: Global Positioning System, Computer science, Real-time computing, Work (physics), Automatic vehicle location, Telecommunications, Engineering, Mechanical engineering

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Cited by: 1

Total citation count in OpenAlex
Citations by year (recent): 2020: 1

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References (count): 13

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Related works (count): 10

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