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0-7080 Develop Roadway and Parking Design Criteria to Accommodate Automated and Autonomous Vehicles [Summary]
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2025-03-01
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[PDF-273.54 KB]
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Abstract:This project assesses how Texas roadway and parking infrastructure should evolve as connected and automated vehicles (CAVs) gain market share, using behavioral-diffusion insights to frame adoption scenarios. Researchers combined literature synthesis with expert questionnaires/interviews, analysis of AV disengagement reports, and PTV Vissim microsimulations of lane and parking layouts under varying CAV penetration. Results show that sight-distance standards, shoulder and clear-zone widths, lane and curb-parking widths, and speed-change-lane lengths are the most sensitive geometric elements, and that platooning permits 10–20 % narrower travel lanes—about 2.4 m (8 ft)—without degrading the level of service. Experts stress that uniform high-contrast pavement markings, lane-by-lane signal heads, and robust digital-map support are prerequisites for machine vision and recommend extended dotted merge lines plus left-turn lane-marking extensions to mitigate localization issues at ramps and intersections. The report advises transportation agencies to update geometric-design and parking manuals to adopt these narrower AV-compatible lanes, strict marking maintenance, and flexible parking footprints, enabling planners to reclaim right-of-way for transit, cycling, and green infrastructure as CAV adoption accelerates.
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