Methodology
For a single truck configuration, researchers used a simulation model consisting of one vehicle model, a speed tracker, a speed profile, and road-grade data for the selected route. In a…
Methodology
A static four-step model was created using a generalized-cost function of travel time, monetary costs (like parking charges and tolls), and fuel costs. Three mode choices of driving and…
FINDINGS
Based on a small-scale study with limited duration, preliminary evaluation results indicated that the end-of-queue warning system reduced crash potential by 18 to 45 percent. With the…
A research team from the University of Texas at Austin Center for Transportation Research set out to analyze the future impacts of CAVs across Texas.
The benefits from CAV were calculated on a per…
Findings
Among single-function (Level 1) and combined function (Level 2) automation technologies:
Traffic sign recognition is the least appealing (52.5 percent of respondents reported $0 WTP),…
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Safety Analysis Methodology
The analysis used the "with-EOQ" and "without-EOQ" lane closure nights as "treatment" and "control" group datasets, and compared crashes occurring during both sets of…
Methodology12 treatment sites and 24 control sites in Iowa, Missouri, Texas, Washington, and Wisconsin were studied. The system was installed at each site during the summer of 2012. The installed…
Methodology
The 7 participating states (Arizona, Florida, Iowa, Ohio, Oregon, Texas, and Washington) found 51 viable sites with an existing speeding problem. Signs were installed at 22 treatment…
Technology Pricing
A simulation forecasted the annual adoption rates of connected and autonomous vehicle (CAV) technologies over the next 30 years (2016 to 2045). Current prices for…