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Titel:

A Concept for Crowdsourcing of In-Vehicle Data to Improve Urban On-Street Parking

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Margreiter, M,; Mayer, P.; Orfanou, F.
Seitenangaben Beitrag:
8
Abstract:
This paper shows the potential of using in-vehicle sensors to determine free parking places in cities. It will also be shown how the crowdsourcing of this data can be used to enrich the existing information about available parking places. Furthermore this concept is compared to the state of the art and its future potential is analysed. Additionally the results of a user survey are discussed, which forms the basis for the characteristics of the presented crowdsourcing concept. The urban mobility...     »
Stichworte:
Parking, Crowdsourcing, In-Vehicle Data
Kongress- / Buchtitel:
mobil.TUM 2015 International Scientific Conference
Kongress / Zusatzinformationen:
Technologies, Solutions and Perspectives for Intelligent Transport Systems
Datum der Konferenz:
30.06./01.07.2015
Publikationsdatum:
30.06.2015
Jahr:
2015
Quartal:
2. Quartal
Jahr / Monat:
2015-06
Monat:
Jun
Seiten:
8
Reviewed:
ja
Sprache:
en
Erscheinungsform:
WWW
Volltext / DOI:
doi:10.13140/RG.2.1.3277.6723
WWW:
https://www.researchgate.net/publication/281375133_A_Concept_for_Crowdsourcing_of_In-Vehicle_Data_to_Improve_Urban_On-Street_Parking
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