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Cited by 187

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Predicting Parking Lot Occupancy in Vehicular Ad Hoc Networks

Open access
Caliskan, Murat, Barthels, Andreas, Scheuermann, Bjorn, Mauve, Martin·2007·2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring

Abstract

The search for free parking places is a promising application for vehicular ad hoc networks (VANETs). In order to guide drivers to a free parking place at their destination, it is necessary to estimate the occupancy state of the parking lots within the destination area at time of arrival. In this paper, we present a model to predict parking lot occupancy based on information exchanged among vehicles. In particular, our model takes the age of received parking lot information and the time needed to arrive at a certain parking lot into account and estimates the future parking situation at time of arrival. It is based on queueing theory and uses a continuous-time homogeneous Markov model. We have evaluated the model in a simulation study based on a detailed model of the city of Brunswick, Germany.

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Metadata

Authors
Caliskan, M., Barthels, A., Scheuermann, B., & Mauve, M.
Venue
2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
Publisher
IEEE
Published
2007-04
Pages
277-281
ISSN
1550-2252
OpenAlex
W2152412884
Cited by
187
References
2
FWCI
24.22
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Predicting Parking Lot Occupancy in Vehicular Ad Hoc Networks. https://app.cochat.ai/papers/10.1109/vetecs.2007.69
The paper
Caliskan, M., Barthels, A., Scheuermann, B., & Mauve, M. (2007). Predicting Parking Lot Occupancy in Vehicular Ad Hoc Networks. 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring. https://doi.org/10.1109/vetecs.2007.69

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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