Computational Vision Model-based Method to Address Work Zone Conspicuity

A computational means to assess the conspicuity of highway features was developed, verified, then applied to a sample construction work zone scene. This work was conceived as a balance between modeling the complex phenomena within the human visual system and the need for a simple applicationsoriented tool for practitioners to derive a quantitative relative assessment of real world construction work zones in order to rank choices in terms of conspicuity. The results indicate that our vision model-based tool can assess the relative conspicuity of individual elements of a roadway or roadside scene and is relatively straightforward in use. As such, it holds potential value in engaging in “virtual” prototyping of work zone sight lines, colors, and placement of hazard warning cues such as cones, markings and reflective vests. Barton, Misener, Cohn A Computational Vision Model-based Method to Address Work Zone Conspicuity Jay E. Barton, James A. Misener, Theodore E. Cohn California PATH Institute of Transportation Studies, University of California at Berkeley Richmond Field Station 1357 S. 46 Street, Bldg 452 Richmond, CA 94804-4698 Phone: 510-231-9465 Fax: 510-231-9565 Email: jebarton@uclink4.berkeley.edu