• Login
    • University Home
    • Library Home
    • Lib Catalogue
    • Advance Search
    View Item 
    •   KDU-Repository Home
    • ACADEMIC JOURNALS
    • International Journal of Research in Computing
    • Volume 04 , Issue 02, 2025
    • View Item
    •   KDU-Repository Home
    • ACADEMIC JOURNALS
    • International Journal of Research in Computing
    • Volume 04 , Issue 02, 2025
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Artificial Intelligence in Smart Cities and Urban Mobility: A Systematic Literature Review

    Thumbnail
    View/Open
    9-1-PB (1) (pages 25-36).pdf (459.1Kb)
    Date
    2025-07
    Author
    Luxshi, K
    Rathnayaka, RMKT
    Seneviratna, DMKN
    Kithulwatta, WMCJT
    Metadata
    Show full item record
    Abstract
    Artificial intelligence (AI) has been pivotal in advancing urban mobility and smart city planning. It offers innovative solutions to address emerging challenges in urban areas. With the global metropolitan population expected to comprise approximately 70% by 2050, the need for efficient, sustainable, and accessible urban mobility systems has become increasingly urgent. This systematic review synthesized 50 peer-reviewed studies from 2015 to 2024 that explore the implementation of AI alongside Internet-of-Things and Information Communication Technology in urban mobility. In particular, it highlights research on real-time traffic signal optimization, predictive algorithms, and intelligent routing systems, which have proven effective in reducing traffic congestion, improving the efficiency of public transportation, and enhancing safety through self-driving vehicles. Key challenges in implementing AI within smart cities and urban mobility include concerns over data privacy and sharing, infrastructure inadequacies, and the digital divide between regions. This systematic review has identified to overcome these obstacles, future research should focus on exploring innovative AI pathways, ensuring equitable access to AI technologies, and strengthening the physical infrastructure necessary to support smart city initiatives worldwide.
    URI
    https://ir.kdu.ac.lk/handle/345/8912
    Collections
    • Volume 04 , Issue 02, 2025 [6]

    Library copyright © 2017  General Sir John Kotelawala Defence University, Sri Lanka
    Contact Us | Send Feedback
     

     

    Browse

    All of KDU RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsFacultyDocument TypeThis CollectionBy Issue DateAuthorsTitlesSubjectsFacultyDocument Type

    My Account

    LoginRegister

    Library copyright © 2017  General Sir John Kotelawala Defence University, Sri Lanka
    Contact Us | Send Feedback