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Impacts of Automated Vehicles on Highway Infrastructure (6-2021)
This research utilizes literature review, stakeholder engagement, and stakeholder engagement events to assesses the demands and impacts Automated Vehicles (AVs) place on current and future infrastructure assets. Based on this research, early strategies for stakeholders in AV readiness can begin implementing measures for a smooth transition. Early strategies include standardization of pavement markings, expanding preventative maintenance on roadways i.e. potholes, edge wear, and rutting, and enforcement of more standardized traffic management signage throughout the country. |
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Effective Practices for Using UAS during Bridge Construction (6-2021)
Unmanned Aerial Systems (UAS) are being used to improve the effectiveness of certain required tasks, reduce time and costs, and enhance safety during construction. This FHWA techbrief outlines effective strategies for using UAS during bridge construction. Strategies include using UAS to assess environmental conditions, documenting prior physical conditions of a construction site, and building a library of weekly photos to aid in the analysis of construction progress and community outreach. |
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Developing Analysis, Modeling, and Simulation Tools for Connected and Automated Vehicle Applications (6-2021)
This report documents a simulation-based case study on a real world 13 mile long corridor in Northern Virginia, used to investigate the effectiveness of SAE J3016 Level 1 automation technology for mitigating or solving existing transportation problems related to congestion, fuel consumption and emissions. The case study involved site selection, model calibration, connected autonomous vehicle (CAV) model development, experimental design, simulation execution, result reporting, and recommendations for future studies. Three infrastructure scenerios were played out with ML 1 performing the best and ML 3 performing the worst, ML 1: dedicated ramps and CV and CAV eligible HOV lanes, ML 2: CV and CAV eligible HOV lanes, and ML 3: HOV lanes (baseline). |