Evaluating the Social Benefit of a Negotiation–Based Parking Allocation

  • Francesco Barile
  • Claudia Di Napoli
  • Dario Di Nocera
  • Silvia Rossi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9086)


Smart parking systems usually support drivers to select parking spaces according to their preferences among competitive alternatives, which are well known in advance to the decision maker, but without considering also the needs of a city. In this paper a decision support system for selecting and reserving optimal parking spaces to drivers is presented, where the concept of optimality is related to the city social welfare including the level of satisfaction of both drivers and the city. It relies on an automated software agent negotiation to accommodate the different needs coming from the different actors involved in the parking allocation process. A simulator of such a system is evaluated with respect to a case of complete information sharing among agents, and a case of no shared information. Different metrics to evaluate the social benefit of the parking allocation in terms of both agents utilities, and allocation efficiency are considered.


Social welfare Agent negotiation Resource allocation Smart parking 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Francesco Barile
    • 1
  • Claudia Di Napoli
    • 2
  • Dario Di Nocera
    • 1
  • Silvia Rossi
    • 3
  1. 1.Dipartimento di Matematica e ApplicazioniUniversità degli Studi di Napoli “Federico II”NapoliItaly
  2. 2.Istituto di Calcolo e Reti ad Alte PrestazioniC.N.R.NapoliItaly
  3. 3.Dipartimento di Ingegneria Elettrica e Tecnologie dell’InformazioneUniversità degli Studi di Napoli “Federico II”NapoliItaly

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