Finding available parking spaces made easy

  • Authors:
  • Andreas Klappenecker;Hyunyoung Lee;Jennifer L. Welch

  • Affiliations:
  • -;-;-

  • Venue:
  • Ad Hoc Networks
  • Year:
  • 2014

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Abstract

We discuss the problem of predicting the number of available parking spaces in a parking lot. The parking lot is modeled by a continuous-time Markov chain, following Caliskan, Barthels, Scheuermann, and Mauve. The parking lot regularly communicates the number of occupied spaces, capacity, arrival and parking rate through a vehicular network. The navigation system in the vehicle has to compute from these data the probability of an available parking space upon arrival. We derive a structural result that considerably simplifies the computation of the transition probabilities in the navigation system of the vehicle.