Suitability of Fusing Vehicle Probe Data and Vessel Data to Contextualize the Multimodal Interaction Impacts on Corridor Mobility – a New Orleans Case Study

Using New Orleans as a case study, this research explores the conflation of vehicle probe data with various vessel datasets to characterize the interactions between container vessels and motor vehicles as it relates to interstate congestion in a port city. The case study investigates the impact of container vessel presence/size and fluctuations in container volumes on roadway congestion. The exploration relies on comparing different conditions using cumulative distribution functions and Innovative Trend Analysis. The results show that fusing vehicle and vessel data is achievable and appropriate, but temporal and data completeness issues exist. The results also show that by joining these modally disparate datasets together and analyzing them as one, additional context is added to discussions related to transportation operations and investment decision-making through either the confirmation or disproval of perceptions or expectations related to container truck traffic on interstates.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 16p

Subject/Index Terms

Filing Info

  • Accession Number: 01764124
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-00918
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:20AM