The push toward smarter transportation management and decision-making has increased significantly in recent years. Toward this end, it is constructive to establish a traffic intelligence platform leveraging web services, big data analytics, and cloud computing. The developers of any such platform always face the challenge of selecting or creating composition plans from among numerous possible plans, often with unclear requirements, that satisfy their quality-of-service (QoS) requirements. Typical QoS properties associated with a web service are execution cost and time, availability, successful evaluation, usage frequency, and accuracy. Most of these factors are vague and/or difficult to quantity. To address the need to handle vague inputs, a constraint satisfaction-based web service composition algorithm is proposed, which is based on fuzzy multi-objective linear programming. A genetic algorithm with Pareto optimization evaluation with weighted standardized Euclidean distance is used that demonstrates good performance as the quantity of service candidate increases. The algorithm is capable of finding a satisfactory solution under input of vague QoS requirements, which shows better capability than multiple-objective linear programming. The applicability and performance of the proposed algorithm are validated in an online transportation analytics platform environment.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Transportation Cloud Service Composition Based on Fuzzy Programming and Genetic Algorithm


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Zhang, Weibin (Autor:in) / Guo, Haifeng (Autor:in) / Zeng, Ziqiang (Autor:in) / Qi, Yong (Autor:in) / Wang, Yinhai (Autor:in)


    Erscheinungsdatum :

    09.09.2018




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A genetic algorithm for the multiobjective solid transportation problem: a fuzzy approach

    Cadenas,J.M. / Jimenez,F. / Univ.de Murcia,ES | Kraftfahrwesen | 1994


    A Genetic Algorithm for the Multiobjective Solid Transportation Problem: A Fuzzy Approach

    Cadenas, J. M. / Jimenez, F. / ENEA; Agency: Italy | British Library Conference Proceedings | 1994


    Fuzzy Linear Programming Approach for Solving Fuzzy Transportation Problems with Transshipment

    Kumar, A. / Kaur, A. / Gupta, A. | British Library Online Contents | 2011


    PUBLIC TRANSPORTATION SMART MONITORING CLOUD SERVICE PLATFORM

    LI JUN / GAO JING / FANG GUOXIN et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Intelligence transportation service using Vehicular Cloud Network

    Abhale, Ashwini B. / Khandelwal, Sumit A. | IEEE | 2016