A matching algorithm to study the evolution of logistics facilities extracted from GPS traces
作者： Nadia M. Trent , Johan W. Joubert , Gyözö Gidofalvi , Behzad Kordnejad
DOI: 10.1016/J.TRPRO.2020.03.186
关键词:
摘要: Abstract The ubiquity of anonymous GPS data has opened the door to a promising source in field city logistics modelling. From this locations facilities can be extracted and their evolution studied over time. minimum edge cover problem, weighted by Hausdorff distance, is used as basis for matching algorithm study location across longitudinal datasets. efficacy validity assessed through visual inspection results three urban areas five time instances. Prevalent errors are unpacked modifications suggested. This paper makes methodological contribution handling purpose
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