A simulation based methodology for analyzing network-based intelligent vehicle control systems

N. Boustany, M. Folkerts, K. Rao, Asok Ray, L. Troxel, Z. Zhang

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

    3 Citations (Scopus)

    Abstract

    There is a need for a generic computer network architecture that will provide flexibility in design and implementation of intelligent vehicle control systems (IVCS) in future generation automobiles. The paper presents the architecture and performance analysis of a network-based IVCS. The most interesting performance parameters of the IVCS network are statistics of induced delays and probability of data loss. Dynamic performance and stability robustness of the IVCS that is served by the network needs to be evaluated in the presence of uncertainties and disturbances in both vehicle dynamics and network operations. Results, derived from both off-line and real-time simulation experiments under different operational scenarios, are analyzed, and future research is recommended on this basis.

    Original languageEnglish (US)
    Title of host publicationProceedings of the Intelligent Vehicles 1992 Symposium, IVS 1992
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages138-143
    Number of pages6
    ISBN (Electronic)078030747X
    DOIs
    StatePublished - Jan 1 1992
    Event1992 Intelligent Vehicles Symposium, IVS 1992 - Detroit, United States
    Duration: Jun 29 1992Jul 1 1992

    Publication series

    NameIEEE Intelligent Vehicles Symposium, Proceedings

    Conference

    Conference1992 Intelligent Vehicles Symposium, IVS 1992
    CountryUnited States
    CityDetroit
    Period6/29/927/1/92

    Fingerprint

    Intelligent Vehicle
    Intelligent vehicle highway systems
    Control System
    Control systems
    Methodology
    Simulation
    Computer Architecture
    Vehicle Dynamics
    Dynamic Performance
    Computer Networks
    Automobile
    Network Architecture
    Computer networks
    Network architecture
    Robustness (control systems)
    Automobiles
    Simulation Experiment
    Performance Analysis
    Disturbance
    Flexibility

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Automotive Engineering
    • Modeling and Simulation

    Cite this

    Boustany, N., Folkerts, M., Rao, K., Ray, A., Troxel, L., & Zhang, Z. (1992). A simulation based methodology for analyzing network-based intelligent vehicle control systems. In Proceedings of the Intelligent Vehicles 1992 Symposium, IVS 1992 (pp. 138-143). [252246] (IEEE Intelligent Vehicles Symposium, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IVS.1992.252246
    Boustany, N. ; Folkerts, M. ; Rao, K. ; Ray, Asok ; Troxel, L. ; Zhang, Z. / A simulation based methodology for analyzing network-based intelligent vehicle control systems. Proceedings of the Intelligent Vehicles 1992 Symposium, IVS 1992. Institute of Electrical and Electronics Engineers Inc., 1992. pp. 138-143 (IEEE Intelligent Vehicles Symposium, Proceedings).
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    title = "A simulation based methodology for analyzing network-based intelligent vehicle control systems",
    abstract = "There is a need for a generic computer network architecture that will provide flexibility in design and implementation of intelligent vehicle control systems (IVCS) in future generation automobiles. The paper presents the architecture and performance analysis of a network-based IVCS. The most interesting performance parameters of the IVCS network are statistics of induced delays and probability of data loss. Dynamic performance and stability robustness of the IVCS that is served by the network needs to be evaluated in the presence of uncertainties and disturbances in both vehicle dynamics and network operations. Results, derived from both off-line and real-time simulation experiments under different operational scenarios, are analyzed, and future research is recommended on this basis.",
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    year = "1992",
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    Boustany, N, Folkerts, M, Rao, K, Ray, A, Troxel, L & Zhang, Z 1992, A simulation based methodology for analyzing network-based intelligent vehicle control systems. in Proceedings of the Intelligent Vehicles 1992 Symposium, IVS 1992., 252246, IEEE Intelligent Vehicles Symposium, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 138-143, 1992 Intelligent Vehicles Symposium, IVS 1992, Detroit, United States, 6/29/92. https://doi.org/10.1109/IVS.1992.252246

    A simulation based methodology for analyzing network-based intelligent vehicle control systems. / Boustany, N.; Folkerts, M.; Rao, K.; Ray, Asok; Troxel, L.; Zhang, Z.

    Proceedings of the Intelligent Vehicles 1992 Symposium, IVS 1992. Institute of Electrical and Electronics Engineers Inc., 1992. p. 138-143 252246 (IEEE Intelligent Vehicles Symposium, Proceedings).

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

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    AB - There is a need for a generic computer network architecture that will provide flexibility in design and implementation of intelligent vehicle control systems (IVCS) in future generation automobiles. The paper presents the architecture and performance analysis of a network-based IVCS. The most interesting performance parameters of the IVCS network are statistics of induced delays and probability of data loss. Dynamic performance and stability robustness of the IVCS that is served by the network needs to be evaluated in the presence of uncertainties and disturbances in both vehicle dynamics and network operations. Results, derived from both off-line and real-time simulation experiments under different operational scenarios, are analyzed, and future research is recommended on this basis.

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    Boustany N, Folkerts M, Rao K, Ray A, Troxel L, Zhang Z. A simulation based methodology for analyzing network-based intelligent vehicle control systems. In Proceedings of the Intelligent Vehicles 1992 Symposium, IVS 1992. Institute of Electrical and Electronics Engineers Inc. 1992. p. 138-143. 252246. (IEEE Intelligent Vehicles Symposium, Proceedings). https://doi.org/10.1109/IVS.1992.252246