Title
Predicting Parking Lot Occupancy In Vehicular Ad Hoc Networks
Abstract
The search for free parking places is a promising application for vehicular ad hoe 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.
Year
DOI
Venue
2007
10.1109/VETECS.2007.69
2007 IEEE 65TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6
Keywords
Field
DocType
predictive models,markov processes,time of arrival,information exchange,markov model,vehicular ad hoc network,queueing theory,wireless sensor networks,protocols,computer science,broadcasting,ad hoc networks,mathematical model
Markov process,Parking lot,Markov model,Computer science,Parking guidance and information,Computer network,Queueing theory,Wireless ad hoc network,Wireless sensor network,Time of arrival
Conference
ISSN
Citations 
PageRank 
1550-2252
46
3.64
References 
Authors
3
4
Name
Order
Citations
PageRank
Murat Caliskan121923.85
Andreas Barthels211215.54
Björn Scheuermann384971.55
Martin Mauve41840153.45