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Using naturalistic driving data to assess variations in fuel efficiency among individual drivers
Fuel consumption rates were studied from a naturalistic driving data set employing a fleet of identical passenger vehicles with gasoline engines and automatic transmissions. One hundred and seventeen drivers traveled a total of over 342,000 kilometers (213,000 miles), unsupervised, using one of the...
Development of analysis methods using recent data a multivariate analysis of crash and naturalistic event data in relation to highway factors using the GIS framework.
This report documents and presents the results of a preliminary study into the use and validation of crash surrogates, to be obtained from naturalistic driving studies for the detailed analysis of risk factors. The approach is based on a unified statistical analysis of crash data and surrogate...
Real-world frequency of use of lighting equipment.
This study provides information about average annual use of the following automotive lighting equipment by U.S. drivers: low- and high-beam headlamps, turn signals, back-up, license plate, parking, sidemarker, stop, and tail lamps. The data were collected as part of a naturalistic field study of...
Real-world frequency of use of automotive lighting equipment
This study provides information about average annual use of the following automotive lighting equipment by U.S. drivers: low-and high-beam headlamps, turn signals, and stop, back-up, parking, sidemarker, and tail lamps. The data were collected as part of a naturalistic field study of crash warning...
Intersection kinematics a pilot study of driver turning behavior with application to pedestrian obscuration by A-pillars
Vehicle turn trajectories from a naturalistic driving database were modeled using Bezier curves. A-pillar geometry from 56 vehicles was analyzed to develop representative and extreme cases of A-pillar obscuration. A new methodology was developed for quantifying plan-view obscuration in...
Warning reliability and driver performance in naturalistic driving
This study examines how naturalistic driving performance is influenced by the perceived reliability of an in-vehicle warning system using a unique measure of perceived reliability. Background: Prior studies of warning reliability conducted in simulator and test-track experiments demonstrate that...
Yaw rate error a dynamic measure of lane keeping control performance for the retrospective analysis of naturalistic driving data.
The aim of this work is to define and evaluate a -yaw rate error- (YRE) derived from naturalistic driving data to quantify driver steering performance during lane keeping. This measure of lane keeping performance is based on the predicted kinematic control error at any instance. Scope is limited to...
Characteristics of turn signal use at intersections in baseline naturalistic driving
The purpose of this study was to determine whether a driver's use of turn signals is sufficiently reliable to forecast a vehicle's future path around an intersection, when detailed information about the intersection is unavailable. Naturalistic observations of turn signal use among 108...