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Author (up) Murrugarra, R.; Wallace, W.; Yushimito, W. doi  openurl
  Title The effect of consistency in estimating link travel times: A data fusion approach Type
  Year 2021 Publication Transportation Planning and Technology Abbreviated Journal Transport. Plan. Techn.  
  Volume Early Access Issue Pages  
  Keywords Consistency; data fusion; traffic management; special event; incidents; case study  
  Abstract Although attention to data fusion has undergone rapid growth since the late 1980s, there are still relatively few applications in transportation management. Most research has based fusion weight estimation on the variance of each data source, assigning high weights to low variance data, implying that low variance means high accuracy. We propose a data fusion methodology where weights are assigned in a way data variance and sensor bias are minimized, but also consistency among data sources is maximized. The proposed methodology is flexible to work with multiple data sources, with different reliability and variability, and under different traffic conditions. The inclusion of consistency is shown to be statistically significant during special events and incidents and demonstrates its validity in successfully representing changes in traffic patterns by reasonably estimating their magnitude. Results from a case study that validate this method are shown.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0308-1060 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000665648700001 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1429  
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