MODEL TO ASSESS LEGIBILITY OF GUIDE SIGNS BASED ON DRIVER EXPECTATIONS
Sahar Hesami, M Atghaei
Abstract
Sahar Hesami, M Atghaei
Abstract
Safety and ability of roads to pass vehicles with the minimum delays for drivers depend on good traffic order, and it can only be achieved if the signs as one of the most important means of traffic control, guide the drivers properly. Therefore, the signs must be so designed that legibility and visibility are supplied all day long. Traffic signs for example guide signs have special important for traffic control. Unfortunately, in many areas signs have been so designed and installed that driver expectations haven’t been considered. So in this project, by recognizing effective factors of legibility, variables were selected and they were used to build the regression model. In this model, legibility factors were considered as independent variables and driver expectations, based on the score as dependent variable were introduced. And finally, it was found, signs that were designed as the standard norms, more drivers pay attention to them.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Safety and ability of roads to pass vehicles with the minimum delays for drivers depend on good traffic order, and it can only be achieved if the signs as one of the most important means of traffic control, guide the drivers properly. Therefore, the signs must be so designed that legibility and visibility are supplied all day long. Traffic signs for example guide signs have special important for traffic control. Unfortunately, in many areas signs have been so designed and installed that driver expectations haven’t been considered. So in this project, by recognizing effective factors of legibility, variables were selected and they were used to build the regression model. In this model, legibility factors were considered as independent variables and driver expectations, based on the score as dependent variable were introduced. And finally, it was found, signs that were designed as the standard norms, more drivers pay attention to them.
Key concepts: Legibility, Visibility, Control (management), Variable (mathematics), Transport engineering, Computer science, Simulation, Psychology