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Real-time parking information management to reduce search time, vehicle displacement and emissions

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Autor dc.contributor.author Caicedo F.
Fecha Tésis dc.date 2010
Fecha Ingreso dc.date.accessioned 2014-04-04T17:21:52Z
Fecha Disponible dc.date.available 2014-04-04T17:21:52Z
Fecha en Repositorio dc.date.issued 2014-04-04
dc.description.abstract The time spent searching for free parking spaces can produce considerable environmental pollution. Information on parking availability can be a powerful instrument for reducing these search costs. This paper develops a demand assignment model to evaluate the benefits of manipulating information with the objective of reducing the time and distances involved in finding a parking-place; including the walking distances involved. Using the full search procedure it was found that improvements of some 10% in efficiency could be achieved, but only at high computational costs. A genetic algorithm was programmed that increases the possibility of finding the optimum information conditions that can be translated into lower emissions of toxic greenhouse gases. © 2010 Elsevier Ltd. en_US
dc.source Transportation Research Part D: Transport and Environment
Link Descarga dc.source.uri http://dx.doi.org/10.1016/j.trd.2010.02.008
Link Descarga dc.source.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-77951298165&partnerID=40&md5=f0e9d857c0444dd9d23994004715c094
Title dc.title Real-time parking information management to reduce search time, vehicle displacement and emissions en_US
dc.description.keywords Information systems; Parking; Urban pollution en_US


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