A review on crowd sourcing Geo-Social related big data approaches as solution to transportation problem

Abdullah Zawawi Mohamed

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    In order to develop an efficient and safe road there are many methods have been implemented to measure the volume of traffic, to evaluate the road safety level and the others. However based on current practices these methods are very costly as well as complicated. In this paper we present the outcomes of the evaluation on several geosocial networks and transportation networks such as Twitter, Google Map and Waze. The evaluations have been done on the architecture, data inputs and outputs. These findings may give an overview on how all these methods work and how the outputs might be used to improve future road planning.

    Original languageEnglish
    Title of host publicationApplied Mechanics and Materials
    PublisherTrans Tech Publications Ltd
    Pages622-626
    Number of pages5
    Volume663
    ISBN (Print)9783038352617
    DOIs
    Publication statusPublished - 2014
    Event2nd International Conference on Recent Advances in Automotive Engineering and Mobility Research, ReCAR 2013 - Kuala Lumpur
    Duration: 16 Dec 201318 Dec 2013

    Publication series

    NameApplied Mechanics and Materials
    Volume663
    ISSN (Print)16609336
    ISSN (Electronic)16627482

    Other

    Other2nd International Conference on Recent Advances in Automotive Engineering and Mobility Research, ReCAR 2013
    CityKuala Lumpur
    Period16/12/1318/12/13

    Fingerprint

    Planning
    Big data

    Keywords

    • Geosocial networks
    • Road planning
    • Transportation networks
    • Twitter for road traffic
    • Waze

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    Mohamed, A. Z. (2014). A review on crowd sourcing Geo-Social related big data approaches as solution to transportation problem. In Applied Mechanics and Materials (Vol. 663, pp. 622-626). (Applied Mechanics and Materials; Vol. 663). Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/AMM.663.622

    A review on crowd sourcing Geo-Social related big data approaches as solution to transportation problem. / Mohamed, Abdullah Zawawi.

    Applied Mechanics and Materials. Vol. 663 Trans Tech Publications Ltd, 2014. p. 622-626 (Applied Mechanics and Materials; Vol. 663).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Mohamed, AZ 2014, A review on crowd sourcing Geo-Social related big data approaches as solution to transportation problem. in Applied Mechanics and Materials. vol. 663, Applied Mechanics and Materials, vol. 663, Trans Tech Publications Ltd, pp. 622-626, 2nd International Conference on Recent Advances in Automotive Engineering and Mobility Research, ReCAR 2013, Kuala Lumpur, 16/12/13. https://doi.org/10.4028/www.scientific.net/AMM.663.622
    Mohamed AZ. A review on crowd sourcing Geo-Social related big data approaches as solution to transportation problem. In Applied Mechanics and Materials. Vol. 663. Trans Tech Publications Ltd. 2014. p. 622-626. (Applied Mechanics and Materials). https://doi.org/10.4028/www.scientific.net/AMM.663.622
    Mohamed, Abdullah Zawawi. / A review on crowd sourcing Geo-Social related big data approaches as solution to transportation problem. Applied Mechanics and Materials. Vol. 663 Trans Tech Publications Ltd, 2014. pp. 622-626 (Applied Mechanics and Materials).
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