1st International ICST Symposium on Vehicular Computing Systems

Research Article

A Management System for Improving Traffic Efficiency in Transportation Infrastructures

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  • @INPROCEEDINGS{10.4108/ICST.ISVCS2008.3583,
        author={Y. Kritikou and George Dimitrakopoulos and Eleni Dimitrellou and Panagiotis Demestichas},
        title={A Management System for Improving Traffic Efficiency in Transportation Infrastructures},
        proceedings={1st International ICST Symposium on Vehicular Computing Systems},
        proceedings_a={ISVCS},
        year={2010},
        month={5},
        keywords={car pooling traffic management},
        doi={10.4108/ICST.ISVCS2008.3583}
    }
    
  • Y. Kritikou
    George Dimitrakopoulos
    Eleni Dimitrellou
    Panagiotis Demestichas
    Year: 2010
    A Management System for Improving Traffic Efficiency in Transportation Infrastructures
    ISVCS
    ICST
    DOI: 10.4108/ICST.ISVCS2008.3583
Y. Kritikou1,*, George Dimitrakopoulos1,*, Eleni Dimitrellou1, Panagiotis Demestichas1,*
  • 1: University of Piraeus Department of Digital Systems 80, Karaoli Dimitriou str., 18534, Piraeus, GREECE
*Contact email: kritikou@unipi.gr, gdimitra@unipi.gr, pdemest@unipi.gr

Abstract

The continuously increasing need for mobility has brought about not only significant facilities in several aspects of human initiative, but also growing traffic congestions, a phenomenon that leads at a short time level to unpleasant everyday situations, but in the long run also to the degradation of the level of quality of living in large cities. The management of traffic stands thus as a fundamental prerequisite for confronting those issues and enhancing transportation. This paper considers the concept of car pooling as a structured approach to this problem, by specifying, developing and validating a mobile-community-driven system for collaborative transportation, namely the “Transportation Management - Car Pooling System”. The system is capable of proposing optimal, reliable and secure community matches (taking into consideration personality features, talking interests, driving style, etc.), based on user profile and context information. The paper describes the Transportation Management - Car Pooling System, presenting its input parameters, decision making process and outcomes. Finally, indicative simulation results showcase its effectiveness.