Mobile Wireless Middleware, Operating Systems, and Applications - Workshops. Mobilware 2009 Workshops, Berlin, Germany, April 2009, Revised Selected Papers

Research Article

Pervasive Adaptation in Car Crowds

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  • @INPROCEEDINGS{10.1007/978-3-642-03569-2_12,
        author={Alois Ferscha and Andreas Riener},
        title={Pervasive Adaptation in Car Crowds},
        proceedings={Mobile Wireless Middleware, Operating Systems, and Applications - Workshops. Mobilware 2009 Workshops, Berlin, Germany, April 2009, Revised Selected Papers},
        proceedings_a={MOBILWARE WORKSHOPS},
        year={2012},
        month={11},
        keywords={Pervasive Adaptation Socio-technical Systems Smart Cars Car Crowds Driver-Car Interaction Vital Context},
        doi={10.1007/978-3-642-03569-2_12}
    }
    
  • Alois Ferscha
    Andreas Riener
    Year: 2012
    Pervasive Adaptation in Car Crowds
    MOBILWARE WORKSHOPS
    Springer
    DOI: 10.1007/978-3-642-03569-2_12
Alois Ferscha1,*, Andreas Riener1,*
  • 1: Johannes Kepler University
*Contact email: ferscha@pervasive.jku.at, riener@pervasive.jku.at

Abstract

Advances in the miniaturization and embedding of electronics for microcomputing, communication and sensor/actuator systems, have fertilized the pervasion of technology into literally everything. Pervasive computing technology is particularly flourishing in the automotive domain, exceling the “smart car”, embodying intelligent control mechanics, intelligent driver assistance, safety and comfort systems, navigation, tolling, fleet management and car-to-car interaction systems, as one of the outstanding success stories of pervasive computing. This paper raises the issue of the socio-technical phenomena emerging from the reciprocal interrelationship between drivers and smart cars, particularly in car crowds. A driver-vehicle co-model (DVC-model) is proposed, expressing the complex interactions between the human driver and the in-car and on-car technologies. Both explicit (steering, shifting, overtaking), as well as implicit (body posture, respiration) interactions are considered, and related to the drivers vital state (attentive, fatigue, distracted, aggressive). DVC-models are considered as building blocks in large scale simulation experiments, aiming to analyze and understand adaptation phenomena rooted in the feed-back loops among individual driver behavior and car crowds.