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Design of cooperative vehicle safety systems based on tight coupling of communication, computing and physical vehicle dynamics

Published: 13 April 2010 Publication History

Abstract

One of the main characteristics of a Cyber Physical System (CPS) is the tight coupling of the computing and communications aspects of the system with its physical dynamics. In this paper, we examine this characteristic for a cooperative vehicle safety (CVS) system, and identify how the design and operation of such CPSs should consider this tight coupling. In CVS systems, vehicles broadcast their physical state information over a shared wireless network to allow their neighbors to track them and predict possible collisions. The physical dynamics of vehicle movement and the required accuracy from tracking process dictate certain load on the network. The network performance is directly affected by the amount of offered load, and in turn directly affects the tracking process and its required load. The tight mutual dependence of physical dynamics of vehicle (physical component), estimation/tracking process and communication process (cyber components) require a new look at how such systems are designed and operated. We consider these factors and propose methods to simplify the design procedure for such tightly coupled systems. The method includes modeling the subcomponent of the CPS and devising interaction and control algorithms to operate them. The proposed methods are compared with methods based on separate design of components that deal with physical and cyber aspects. Through simulation experiments we show significant gains in performance when CPS design considerations are respected.

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    cover image ACM Conferences
    ICCPS '10: Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems
    April 2010
    208 pages
    ISBN:9781450300667
    DOI:10.1145/1795194
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 13 April 2010

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    Author Tags

    1. DSRC
    2. cooperative vehicle safety
    3. cyber physical systems
    4. estimation
    5. vehicular adhoc network

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    • (2024)Distributed and Coordinated Model Predictive Control for Channel Resource Allocation in Cooperative Vehicle Safety SystemsIEEE Internet of Things Journal10.1109/JIOT.2023.334395111:11(19328-19343)Online publication date: 1-Jun-2024
    • (2024)Mission based systems for connected automated mobilityRobotics and Autonomous Systems10.1016/j.robot.2024.104772180(104772)Online publication date: Oct-2024
    • (2023)Predictive Model-Based and Control-Aware Communication Strategies for Cooperative Adaptive Cruise ControlIEEE Open Journal of Intelligent Transportation Systems10.1109/OJITS.2023.32592834(232-243)Online publication date: 2023
    • (2023)False Data Injection Attack Detection in VANET Using Upgraded Grey Wolf Optimization Algorithm Using LSTM ClassifierCommunication and Intelligent Systems10.1007/978-981-99-2100-3_54(703-713)Online publication date: 25-Jul-2023
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    • (2021)Multiparameter Optimization Framework of Cyberphysical Systems: A Case Study on Energy Saving of the Automotive EngineActuators10.3390/act1012033010:12(330)Online publication date: 14-Dec-2021
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