Date of Award
Planning and Urban Studies
Using New Orleans as a case study, this thesis 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, fluctuations in container volumes, and container on barge services on roadway congestion. The exploration relies on comparing different conditions using cumulative distribution functions and the Innovative Trend Analysis. The results showed that fusing vehicle and vessel data is achievable and appropriate, but temporal and data completeness issues can effect results. The results also showed 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 expected results related to container truck traffic on an interstate.
Zeringue, Kirk, "Suitability of Fusing Vehicle Probe Data and Vessel Data to Contextualize the Multimodal Interaction Impacts on Corridor Mobility – a New Orleans Case Study" (2020). University of New Orleans Theses and Dissertations. 2778.