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US Transportation Collection US Transportation Collection
US Transportation Collection

The US Transportation Collection consists of documents from across all transportation modes with specific focus on research reports from US DOT, state DOTs, and other transportation organizations. Bookmark this collection: https://rosap.ntl.bts.gov/collection_ust or https://doi.org/10.21949/1530857.

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    Development of a Resilience Index for the Florida Surface Transportation System [Summary]
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    Test Procedure for Rapid Mix Design of Cement-Treated Base
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    Improving Roadway Debris Clearance for CHART Responders: Research Summary
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    Removing Residual Lane Markings to Reduce Driver Confusion
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    Product Material Investigation and Evaluation of Jay’s Majic Mud for Use in KDOT Construction and Maintenance Applications
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    Product Material Investigation and Evaluation of Jay’s Majic Mud for Use in KDOT Construction and Maintenance Applications [Technical Summary]
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    Statewide Calibration of CPT Direct Design Methods Using Static Load Test Data: Research Project Capsule [24-3GT]
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    Study on Spectrum Options for GDOT’s Connected Vehicle Infrastructure
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    VISSIM™ Simulation Calibration Procedure
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    Crashes Related to Type and Location of Driveway Access [Summary]
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    Safety and User Perceptions of Auxiliary Bike Lanes
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    Culvert/Storm Drain Evaluation Technologies
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    Lessons Learned From Abroad: Potential Influence of California High-Speed Rail on Economic Development, Land Use Patterns, and Future Growth of Cities
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    Assessing the Total Cost of Ownership of Electric Vehicles Among California Households
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    Effects of Road Collisions on the Travel Behavior of Vulnerable Groups: Expert Interview Findings
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    Possible Methodology for Probabilistic Assessment of Bridge Safety Against Collisions
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    Using Apps to Notify the Public of Local Road and Bridge Closures
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    Improving Roadway Debris Clearance for CHART Responders
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    Simulating Incident Management Team Response and Performance
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    Prediction of Road Condition and Smoothness for Flexible and Rigid Pavements in Louisiana Using Neural Networks
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