On Learning Fuel Consumption Prediction in Vehicle Clusters

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

    Abstract

    Identifying granular patterns of differentiation and learning predictors of product performance are key drivers to capitalize on competitive market segments. In this paper, we propose an approach to identify granular product patterns by using Hierarchical Clustering, and to learn predictors of product performance from historical data by using Genetic Programming. Computational experiments using more than twenty thousand vehicle models collected over the last thirty years shows (1) the feasibility to identify vehicle differentiation at different levels of granularity by hierarchical clustering, and (2) the good predictive ability of learned fuel consumption predictors in vehicle cluster. We believe our approach introduces the building blocks to further advance on studies regarding product differentiation and market segmentation by using data-intensive approaches.

    Original languageEnglish
    Title of host publicationProceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018
    EditorsClaudio Demartini, Sorel Reisman, Ling Liu, Edmundo Tovar, Hiroki Takakura, Ji-Jiang Yang, Chung-Horng Lung, Sheikh Iqbal Ahamed, Kamrul Hasan, Thomas Conte, Motonori Nakamura, Zhiyong Zhang, Toyokazu Akiyama, William Claycomb, Stelvio Cimato
    PublisherIEEE Computer Society
    Pages116-121
    Number of pages6
    Volume2
    ISBN (Electronic)9781538626665
    DOIs
    Publication statusPublished - 2018 Jun 8
    Event42nd IEEE Computer Software and Applications Conference, COMPSAC 2018 - Tokyo, Japan
    Duration: 2018 Jul 232018 Jul 27

    Other

    Other42nd IEEE Computer Software and Applications Conference, COMPSAC 2018
    CountryJapan
    CityTokyo
    Period18/7/2318/7/27

    Fingerprint

    Fuel consumption
    Genetic programming
    Experiments

    Keywords

    • Clustering
    • Fuel consumption estimation
    • Genetic programming
    • Prediction
    • Vehicle
    • Vehicle clustering

    ASJC Scopus subject areas

    • Software
    • Computer Science Applications

    Cite this

    Parque Tenorio, V., & Miyashita, T. (2018). On Learning Fuel Consumption Prediction in Vehicle Clusters. In C. Demartini, S. Reisman, L. Liu, E. Tovar, H. Takakura, J-J. Yang, C-H. Lung, S. I. Ahamed, K. Hasan, T. Conte, M. Nakamura, Z. Zhang, T. Akiyama, W. Claycomb, ... S. Cimato (Eds.), Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018 (Vol. 2, pp. 116-121). [8377841] IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2018.10214

    On Learning Fuel Consumption Prediction in Vehicle Clusters. / Parque Tenorio, Victor; Miyashita, Tomoyuki.

    Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. ed. / Claudio Demartini; Sorel Reisman; Ling Liu; Edmundo Tovar; Hiroki Takakura; Ji-Jiang Yang; Chung-Horng Lung; Sheikh Iqbal Ahamed; Kamrul Hasan; Thomas Conte; Motonori Nakamura; Zhiyong Zhang; Toyokazu Akiyama; William Claycomb; Stelvio Cimato. Vol. 2 IEEE Computer Society, 2018. p. 116-121 8377841.

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

    Parque Tenorio, V & Miyashita, T 2018, On Learning Fuel Consumption Prediction in Vehicle Clusters. in C Demartini, S Reisman, L Liu, E Tovar, H Takakura, J-J Yang, C-H Lung, SI Ahamed, K Hasan, T Conte, M Nakamura, Z Zhang, T Akiyama, W Claycomb & S Cimato (eds), Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. vol. 2, 8377841, IEEE Computer Society, pp. 116-121, 42nd IEEE Computer Software and Applications Conference, COMPSAC 2018, Tokyo, Japan, 18/7/23. https://doi.org/10.1109/COMPSAC.2018.10214
    Parque Tenorio V, Miyashita T. On Learning Fuel Consumption Prediction in Vehicle Clusters. In Demartini C, Reisman S, Liu L, Tovar E, Takakura H, Yang J-J, Lung C-H, Ahamed SI, Hasan K, Conte T, Nakamura M, Zhang Z, Akiyama T, Claycomb W, Cimato S, editors, Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. Vol. 2. IEEE Computer Society. 2018. p. 116-121. 8377841 https://doi.org/10.1109/COMPSAC.2018.10214
    Parque Tenorio, Victor ; Miyashita, Tomoyuki. / On Learning Fuel Consumption Prediction in Vehicle Clusters. Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. editor / Claudio Demartini ; Sorel Reisman ; Ling Liu ; Edmundo Tovar ; Hiroki Takakura ; Ji-Jiang Yang ; Chung-Horng Lung ; Sheikh Iqbal Ahamed ; Kamrul Hasan ; Thomas Conte ; Motonori Nakamura ; Zhiyong Zhang ; Toyokazu Akiyama ; William Claycomb ; Stelvio Cimato. Vol. 2 IEEE Computer Society, 2018. pp. 116-121
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    abstract = "Identifying granular patterns of differentiation and learning predictors of product performance are key drivers to capitalize on competitive market segments. In this paper, we propose an approach to identify granular product patterns by using Hierarchical Clustering, and to learn predictors of product performance from historical data by using Genetic Programming. Computational experiments using more than twenty thousand vehicle models collected over the last thirty years shows (1) the feasibility to identify vehicle differentiation at different levels of granularity by hierarchical clustering, and (2) the good predictive ability of learned fuel consumption predictors in vehicle cluster. We believe our approach introduces the building blocks to further advance on studies regarding product differentiation and market segmentation by using data-intensive approaches.",
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