Completed Research Projects
- Completed Research Projects
- Network Analysis of Freight Diversion and Capacity Issues in Tennessee
- Intermodal Freight Network – User Interface Development
- U.S. Foreign Waterborne Cargo Data System: phase II
- Mining AIS Data for Improved Vessel Trip Analysis Capabilities
- Spatial Analysis of Safety and Security Vulnerability During Transport of Hazardous Materials
- U.S. Freight Investment Efficiency: Phase I
- Baseline of the US National Freight System
- National Scan of Freight Capacity, Safety and Security Issues (phases I and II)
- Freight Analysis Network Development
- Intermodal Freight Curriculum Development
- Freight Analysis Network – Terminal Capacity Estimation
- Tennessee Highway Route Risk Assessments
- I-40 Trucking Operations and Safety Analysis
- Enterprise Risk Management Needs Assessment Protocol
- Intermodal GIS Network Risk Assessment
- Truck Terminal and Corridor Performance Analysis
- Coastal Maritime Risk Assessments
- The “Phases” of Emergency Management
- The Recovery Phase of Emergency Management
- Freight Transportation and Emergency Management: Profiles of 3 Stakeholder Groups
- Safety, Security and Capacity of Critical Rail Corridors
- Intermodal Freight GIS Network
- Regional Traffic and Safety Information Dissemination – Phase 2
- CAIT 10: Inland Marine Transportation Analytics, Phase II
- Inland Marine Transportation Data Collection Using Automatic Identification Systems
- US Foreign Waterborne Cargo Data System
- TDOT SmartWay Information System (TSIS)
- Spill Management Information System (SMIS)
Previous research at Vanderbilt University developed a routable, nationwide intermodal freight transportation network for simulating and analyzing intermodal flows. The network maintains original attributes for each mode (e.g., AADT for the highway network, tonnages for the waterway network and rail traffic density for the rail network). While the initial intent of the network was to provide a tool for transportation agencies to better understand intermodal freight flows within, around and through their jurisdictions, the network may also be used for risk-based analyses.
This research effort was focused on incorporating modal-specific incident rates for all links. The research documentation provides valuable insight into the difficulties performing such a task, shortcomings with casualty datasets and example GIS calculations that can be performed to measure risk along a transportation route within a GIS (i.e., population density within 5 miles, etc.).
Supplemental Notes: This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program (University of Memphis, Intermodal Freight Transportation Institute).
Please contact Jimmy Dobbins for more information about this project. The final report may be found by clicking here.
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