Modeling Tools

Software and modeling tools developed and maintained by the lab.

Transportation Modeling and Simulation

  1. Regional Network Model: Represents the Knoxville metropolitan road network, including interstates (I-40, I-75, I-140), U.S. highways, and major arterials.
  2. Demand Estimation: Estimates origin-destination (OD) travel demand using observed traffic count data.
  3. Traffic Assignment: Loads the estimated OD demand onto the network to estimate link-level traffic volumes.
  4. Congestion Assessment: Computes volume-to-capacity (V/C) ratios to identify corridors operating near or above capacity.
  5. Scenario Evaluation: Tests how demand growth, network changes, or operational strategies affect congestion across the region.
Map of the Knoxville regional road network colored by volume-to-capacity ratio

The map above shows simulated volume-to-capacity ratios across the Knoxville, Tennessee region. Congestion is concentrated along the I-40/I-75 corridor west of downtown and the northern approaches toward Powell and Halls, while outlying rural roads remain well under capacity.

Microhub and Electric Cargo Cycle Planning Tool

  1. Microhub Sizing: Estimates the number of microhubs required to serve the study area.
  2. Location Selection: Identifies optimal microhub locations.
  3. Service Area Assignment: Assigns service areas to microhubs.
  4. Fleet & Route Sizing: Calculates the number of e-cargo cycles required at each microhub and the total tour distance.

The demonstration above illustrates the application of the tool to New York City (NYC).

Tennessee Highway Incident Analysis

  1. Hotspot Analysis: Identifies locations with elevated incident concentration across the highway network.
  2. Incident Severity Modeling: Estimates the likely severity of incidents based on roadway and traffic conditions.
  3. Incident Clearance Time Modeling: Predicts how long it will take to clear an incident from the roadway.
  4. Scenario Analysis: Compares predicted incident severity and clearance time across different scenarios.

Highway Incident Analytics

Analyze highway incident data across Tennessee to uncover patterns, predict hotspots, and support data-driven safety and infrastructure decisions.

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