摘要: |
During the completion of the three-year Mid-America Transportation Center (MATC) Smart Barrier project conducted at NTC's Midwest Roadside Safety Facility (MwRSF), several state departments of transportation (DOTs) and the Ontario Good Roads Association indicated a strong interest in applying research findings and techniques from the initial study to state DOT datasets and connected and autonomous vehicle (CAV) wireless communication platforms. In particular, by using the MATC Smart Barrier final results, the Modified Discrete Road Curvature (MDRC) method, roads can be simply and accurately represented with much less data processing and storage needs than lidar-based maps, less robust connectivity requirements than geopositioning systems like real-time kinetic (RTK) Global Positioning System (GPS) systems, and fewer sensitivities to environmental conditions like rain, snow, fog, and darkness. By coordinating with U.S. and international agencies, MwRSF researchers intend to implement MATC research project findings into real-world prototypes and facilitate better adoption and integration of findings into state DOTs nationwide. Researchers will develop software to rapidly extract critical road data, standardize data format for ease of integration into state DOT and international road data formats, and develop a user guide for rapidly generating the road data matrix using MDRC method to represent real roadways. The method and software will be implemented to digitize selected road corridors. |