Przemysław Skrzypczak

Digital Billboards And Road Safety

Electroluminescent diodes have become increasingly popular on outdoor billboards for the last few years, all over the world. Digital billboards with electroluminescent diodes are large, have high luminance and display dynamically changing images. Billboards located near streets are a potential threat to traffic safety. The paper presents requirements for such billboards, the results and analysis of measurements of selected billboards located in Poznań, Poland, as well as conclusions and recommendations for large size billboards with light emitting diodes located in the vicinity of roads and intersections.

LARGE-SIZED DIGITAL BILLBOARDS HAZARD

Various kinds of media are used for outdoor advertising purposes. One such medium comprises large electronic billboards with light-emitting diodes (LED) as the source of light. Such novel advertising devices’ photometric parameters are different than in the media used so far and consequently impact road traffi c participants in a different manner. Digital billboards with electroluminescent diodes are large, have high luminance, and display dynamically changing images. Billboards located near streets are a potential threat to traffi c safety. The paper presents requirements for such billboards, the results and analysis of measurements of selected billboards located in Poznan, Poland, as well as conclusions and recommendations for large-sized billboards with LED located in the vicinity of roads and intersections.

Road structure analysis based on cross-section images processing

Road pavement structure analysis provides important information for road maintenance and renovation planning. Image processing methods applying to cross-section of the asphalt pavement can provide valuable information about the pavement structure and its quality. The paper presents a method to analyze a picture of a cross-section sample, taking into account aggregates size. The features that have been captured and quantified using 2-D images were limited to aggregates size. The elaborated algorithm and its implementation are presented. The tool is prepared as a part of a bigger system dedicated to road pavement analysis.