Improving Parking Availability Maps using Information from Nearby Roads

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dc.identifier.uri http://dx.doi.org/10.15488/1656
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1681
dc.contributor.author Bock, Fabian
dc.contributor.author Sester, Monika
dc.date.accessioned 2017-06-21T06:56:19Z
dc.date.available 2017-06-21T06:56:19Z
dc.date.issued 2016
dc.identifier.citation Bock, F.; Sester, M.: Improving Parking Availability Maps using Information from Nearby Roads. In: Transportation Research Procedia 19 (2016), S. 207-214. DOI: https://doi.org/10.1016/j.trpro.2016.12.081
dc.description.abstract Parking search traffic causes increased travel times and air pollution in many cities. Real-time parking availability maps are expected to help drivers to find a parking space faster and thus to reduce parking search traffic. A possibility to create such maps is the aggregation of parking availability information from crowdsourcing solutions like probe vehicles and mobile phone applications. Since these sources cannot sense the whole city at the same time, estimation methods are necessary to fill uncovered areas. This paper investigates the estimation of parking availability based on spatial methods using sensor data from San Francisco. First, spatial similarities in parking availability are evaluated for different aspects like time of day and number of parking spaces depending on the distance to reveal the parking characteristics. Then, interpolation methods are examined to estimate parking availability in unobserved road segments. Results show that relevant similarities mainly exist for short distances of less than hundred meters. Their similarity values are lower than the temporal similarity even for multiple hours of time gap. Nevertheless, spatial information is useful to interpolate parking availability. Investigated interpolation methods show significantly better results than random guess. Inverse distance weighting method outperforms a simple averaging by up to 5%. eng
dc.description.sponsorship DFG/GRK/1931
dc.language.iso eng
dc.publisher Amsterdam : Elsevier B.V.
dc.relation.ispartofseries Transportation Research Procedia 19 (2016)
dc.rights CC BY-NC-ND 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject crowd-sensing eng
dc.subject parking availability estimation eng
dc.subject parking statistics eng
dc.subject similarity measures eng
dc.subject spatial data analysis eng
dc.subject spatial interpolation eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 380 | Handel, Kommunikation, Verkehr ger
dc.title Improving Parking Availability Maps using Information from Nearby Roads
dc.type article
dc.type Text
dc.relation.issn 2352-1465
dc.relation.doi https://doi.org/10.1016/j.trpro.2016.12.081
dc.bibliographicCitation.volume 19
dc.bibliographicCitation.firstPage 207
dc.bibliographicCitation.lastPage 214
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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