Literature DB >> 11866202

Role of lateral acceleration in curve driving: driver model and experiments on a real vehicle and a driving simulator.

G Reymond1, A Kemeny, J Droulez, A Berthoz.   

Abstract

Experimental studies show that automobile drivers adjust their speed in curves so that maximum vehicle lateral accelerations decrease at high speeds. This pattern of lateral accelerations is described by a new driver model, assuming drivers control a variable safety margin of perceived lateral acceleration according to their anticipated steering deviations. Compared with a minimum time-to-lane-crossing (H. Godthelp, 1986) speed modulation strategy, this model, based on nonvisual cues, predicts that extreme values of lateral acceleration in curves decrease quadratically with speed, in accordance with experimental data obtained in a vehicle driven on a test track and in a motion-based driving simulator. Variations of model parameters can characterize "normal" or "fast" driving styles on the test track. On the simulator, it was found that the upper limits of lateral acceleration decreased less steeply when the motion cuing system was deactivated, although drivers maintained a consistent driving style. This is interpreted per the model as an underestimation of curvilinear speed due to the lack of inertial stimuli. Actual or potential applications of this research include a method to assess driving simulators as well as to identify driving styles for on-board driver aid systems.

Mesh:

Year:  2001        PMID: 11866202     DOI: 10.1518/001872001775898188

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  8 in total

1.  Eye movements coordinated with steering benefit performance even when vision is denied.

Authors:  M Wilson; S Stephenson; M Chattington; D E Marple-Horvat
Journal:  Exp Brain Res       Date:  2006-08-05       Impact factor: 1.972

2.  Do walkers follow their heads? Investigating the role of head rotation in locomotor control.

Authors:  Michael Cinelli; William H Warren
Journal:  Exp Brain Res       Date:  2012-03-31       Impact factor: 1.972

3.  Evaluation of advanced curve speed warning system for fire trucks.

Authors:  Peter Simeonov; Hongwei Hsiao; Ashish Nimbarte; Richard Current; Douglas Ammons; Hee-Sun Choi; Md Mahmudur Rahman; Darlene Weaver
Journal:  Appl Ergon       Date:  2021-07-15       Impact factor: 3.940

4.  Cycling around a curve: the effect of cycling speed on steering and gaze behavior.

Authors:  Pieter Vansteenkiste; David Van Hamme; Peter Veelaert; Renaat Philippaerts; Greet Cardon; Matthieu Lenoir
Journal:  PLoS One       Date:  2014-07-28       Impact factor: 3.240

Review 5.  A review of human sensory dynamics for application to models of driver steering and speed control.

Authors:  Christopher J Nash; David J Cole; Robert S Bigler
Journal:  Biol Cybern       Date:  2016-04-16       Impact factor: 2.086

6.  Differences between racing and non-racing drivers: A simulator study using eye-tracking.

Authors:  Peter M van Leeuwen; Stefan de Groot; Riender Happee; Joost C F de Winter
Journal:  PLoS One       Date:  2017-11-09       Impact factor: 3.240

7.  Vehicle Deceleration Prediction Model to Reflect Individual Driver Characteristics by Online Parameter Learning for Autonomous Regenerative Braking of Electric Vehicles.

Authors:  Kyunghan Min; Gyubin Sim; Seongju Ahn; Myoungho Sunwoo; Kichun Jo
Journal:  Sensors (Basel)       Date:  2019-09-26       Impact factor: 3.576

8.  Research on a Cognitive Distraction Recognition Model for Intelligent Driving Systems Based on Real Vehicle Experiments.

Authors:  Qinyu Sun; Chang Wang; Yingshi Guo; Wei Yuan; Rui Fu
Journal:  Sensors (Basel)       Date:  2020-08-07       Impact factor: 3.576

  8 in total

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