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In a world in which Intelligent Transport Systems (ITS) are increasingly being installed on highways, the proper calibration of ITS algorithms is emerging as an essential component of such systems. The key to calibration is profound and correct understanding of reactions by drivers to ITS interventions. Speed compliance is a special kind of driver behavior, highly related to resultant road safety. This paper, using data gathered from a representative sample of 39 research participants in a dynamic driving simulator experiment in the Czech Republic, presents an approach for modeling driver speed compliance based on socio-demographic characteristics. In this approach, logistic regression model was applied to understand the factors influencing driver speed compliance. The results of this study support the goal of establishing optimal speed limits for drivers on Variable Message Signs on the Prague Ring Road by addressing issues related to driver speed compliance. These findings provide the basis for policy development aimed at ensuring the consistent and practical design of Variable Speed Limit systems on Czech highways and beyond.

A driving simulation study on drivers speed compliance with respect to variable message signs