High- and Low-Order Overtaking-Ability Affordances: Drivers Rely on the Maximum Velocity and Acceleration of Their Cars to Perform Overtaking Maneuvers

• Numa Basilio
• Morice Antoine H.P.
• Marti Geoffrey
• Montagne Gilles

• Driving
• Overtaking
• Affordance
• Acceleration
• Virtual reality

Objective: The aim of this study was to answer the question, Do drivers take into account the action boundaries of their car when overtaking? Background: The Morice et al. affordance-based approach to visually guided overtaking suggests that the overtake-ability affordance can be formalized as the ratio of the minimum satisfying velocity (MSV) of the maneuver to the maximum velocity (V-max) of the driven car. In this definition, however, the maximum acceleration (A(max)) of the vehicle is ignored. We hypothesize that drivers may be sensitive to an affordance redefined with the ratio of the minimum satisfying acceleration (MSA) to the A(max) of the car. Method: Two groups of nine drivers drove cars differing in their A(max). They were instructed to attempt overtaking maneuvers in 25 situations resulting from the combination of five MSA and five MSV values. Results: When overtaking frequency was expressed as a function of MSV and MSA, maneuvers were found to be initiated differently for the two groups. However, when expressed as a function of MSV/V-max and MSA/A(max), overtaking frequency was quite similar for both groups. Finally, a multiple regression coefficient analysis demonstrated that overtaking decisions are fully explained by a composite variable comprising MSA/A(max) and the time required to reach MSV. Conclusion: Drivers reliably decide whether overtaking is safe (or not) by using low- and high-order variables taking into account their car's maximum velocity and acceleration, respectively, as predicted by affordance-based control theory. Application: Potential applications include the design of overtaking assistance, which should exploit the MSA/A(max) variables in order to suggest perceptually relevant overtaking solutions.