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)
The Tennessee Department of Transportation (TDOT) contracted the Intermodal Freight Transportation Institute (IFTI) to perform route risk assessments for all Tennessee highways. This type of analysis was completed in the past using accident frequencies and rates as proxy measures for risk for all Interstate segments in half-mile increments.
This research expanded the geographic coverage of the risk assessments to include accidents occurring on NHS segments within the most recent 5 years of Tennessee Highway Patrol (THP) crash data. The crash data was linear-referenced to the Tennessee Department of Transportation’s (TDOT) highway layer using route and milepost data. Truck crashes were given special attention to determine if these occur on certain highway segments more often than the rest of the system.
Supplemental Notes: This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program (University of Memphis, Intermodal Freight Transportation Institute).
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