Standard Practice for Computing Ride Number of Roads from Longitudinal Profile Measurements Made by an Inertial Profile Measuring Device

Importancia y uso:

5.1 This practice provides a means for obtaining a quantitative estimate of a pavement property defined as ride quality or rideability using longitudinal profile measuring equipment.

5.1.1 The Ride Number (RN) is portable because it can be obtained from longitudinal profiles obtained with a variety of instruments.

5.1.2 The RN is stable with time because true RN is based on the concept of a true longitudinal profile, rather than the physical properties of particular type of instrument.

5.2 Ride quality information is a useful input to the pavement manage systems (PMS) maintained by transportation agencies.

5.2.1 The subjective ride quality estimate produced by this practice has been determined (6) to be highly correlated (r = 0.92) with measured subjective ride quality and to produce a low standard estimate of error (0.29 RN units) for the ride quality estimate.

5.2.2 The subjective ride quality estimates produced by this practice were found to be not significantly different with respect to pavement type, road class, vehicle size, vehicle speed (within posted speed limits), and regionality over the range of variables included in the experiment (1-4).

5.2.3 The subjective ride quality estimates produced by this practice have been found to be good predictors of the need of non-routine road maintenance for the various road classifications (3).

5.3 The use of this practice to produce subjective ride quality estimates from measured longitudinal profile eliminates the need for expensive ride panel studies to obtain the same ride quality information.

Subcomité:

E17.33

Referida por:

E2133-03R20, E0867-23, E0950_E0950M-22

Volúmen:

04.03

Número ICS:

93.080.99 (Other standards related to road engineering)

Palabras clave:

longitudinal profile; mean panel ratings (MPR); panel rating; pavement ride quality; profile index; rideability; ride number (RN); subjective ride quality; subjective ride quality estimate ;