Operating heavy duty vehicles under extreme heat conditions: A fuzzy approach for smart gear-shifting strategy

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    Heavy duty vehicles are vastly used in numerous fields such as public transportation, construction, logistics and military. The increased possibility of overheating the engine of such vehicles, when operating under extreme heat conditions, is a well-known and widely accepted problem which in turn results on stopping the vehicle and waiting to cool down. In this paper a novel fuzzy controller is presented that handles with such overheating issues. Several simulated experiments were performed in order to evaluate the controller's applicability and performance in various terrains. Results show an improvement on the performance of each vehicle as well as the whole convoy
    Original languageEnglish
    Title of host publicationIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
    PublisherIEEE
    Pages961-966
    ISBN (Print)9781479929146
    DOIs
    Publication statusPublished - Oct 2013

    Fingerprint

    Gears
    Controllers
    Logistics
    Engines
    Hot Temperature
    Experiments

    Bibliographical note

    This paper is not yet available in the repository. The paper was given at the IEEE Conference on Intelligent Transportation Systems (ITSC), 6-9 Oct 2013, The Hague

    Keywords

    • construction
    • extreme heat conditions
    • fuzzy approach
    • fuzzy controller
    • heavy duty vehicles
    • logistics
    • military
    • public transportation
    • smart gear-shifting strategy
    • terrains

    Cite this

    Operating heavy duty vehicles under extreme heat conditions: A fuzzy approach for smart gear-shifting strategy. / Skalistis, Stefanos; Petrovi„c, Dobrila; Shaikh, Siraj Ahmed.

    IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. IEEE, 2013. p. 961-966.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Skalistis, Stefanos ; Petrovi„c, Dobrila ; Shaikh, Siraj Ahmed. / Operating heavy duty vehicles under extreme heat conditions: A fuzzy approach for smart gear-shifting strategy. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. IEEE, 2013. pp. 961-966
    @inbook{92a89fd9576248a7b26d3fcbb11cdbb1,
    title = "Operating heavy duty vehicles under extreme heat conditions: A fuzzy approach for smart gear-shifting strategy",
    abstract = "Heavy duty vehicles are vastly used in numerous fields such as public transportation, construction, logistics and military. The increased possibility of overheating the engine of such vehicles, when operating under extreme heat conditions, is a well-known and widely accepted problem which in turn results on stopping the vehicle and waiting to cool down. In this paper a novel fuzzy controller is presented that handles with such overheating issues. Several simulated experiments were performed in order to evaluate the controller's applicability and performance in various terrains. Results show an improvement on the performance of each vehicle as well as the whole convoy",
    keywords = "construction, extreme heat conditions, fuzzy approach, fuzzy controller, heavy duty vehicles, logistics, military, public transportation, smart gear-shifting strategy, terrains",
    author = "Stefanos Skalistis and Dobrila Petrovi„c and Shaikh, {Siraj Ahmed}",
    note = "This paper is not yet available in the repository. The paper was given at the IEEE Conference on Intelligent Transportation Systems (ITSC), 6-9 Oct 2013, The Hague",
    year = "2013",
    month = "10",
    doi = "10.1109/ITSC.2013.6728356",
    language = "English",
    isbn = "9781479929146",
    pages = "961--966",
    booktitle = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",
    publisher = "IEEE",
    address = "United States",

    }

    TY - CHAP

    T1 - Operating heavy duty vehicles under extreme heat conditions: A fuzzy approach for smart gear-shifting strategy

    AU - Skalistis, Stefanos

    AU - Petrovi„c, Dobrila

    AU - Shaikh, Siraj Ahmed

    N1 - This paper is not yet available in the repository. The paper was given at the IEEE Conference on Intelligent Transportation Systems (ITSC), 6-9 Oct 2013, The Hague

    PY - 2013/10

    Y1 - 2013/10

    N2 - Heavy duty vehicles are vastly used in numerous fields such as public transportation, construction, logistics and military. The increased possibility of overheating the engine of such vehicles, when operating under extreme heat conditions, is a well-known and widely accepted problem which in turn results on stopping the vehicle and waiting to cool down. In this paper a novel fuzzy controller is presented that handles with such overheating issues. Several simulated experiments were performed in order to evaluate the controller's applicability and performance in various terrains. Results show an improvement on the performance of each vehicle as well as the whole convoy

    AB - Heavy duty vehicles are vastly used in numerous fields such as public transportation, construction, logistics and military. The increased possibility of overheating the engine of such vehicles, when operating under extreme heat conditions, is a well-known and widely accepted problem which in turn results on stopping the vehicle and waiting to cool down. In this paper a novel fuzzy controller is presented that handles with such overheating issues. Several simulated experiments were performed in order to evaluate the controller's applicability and performance in various terrains. Results show an improvement on the performance of each vehicle as well as the whole convoy

    KW - construction

    KW - extreme heat conditions

    KW - fuzzy approach

    KW - fuzzy controller

    KW - heavy duty vehicles

    KW - logistics

    KW - military

    KW - public transportation

    KW - smart gear-shifting strategy

    KW - terrains

    U2 - 10.1109/ITSC.2013.6728356

    DO - 10.1109/ITSC.2013.6728356

    M3 - Chapter

    SN - 9781479929146

    SP - 961

    EP - 966

    BT - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

    PB - IEEE

    ER -