Literature DB >> 22664666

Adapting ISA system warnings to enhance user acceptance.

Felipe Jiménez1, Yingzhen Liang, Francisco Aparicio.   

Abstract

Inappropriate speed is a major cause of traffic accidents. Different measures have been considered to control traffic speed, and intelligent speed adaptation (ISA) systems are one of the alternatives. These systems know the speed limits and try to improve compliance with them. This paper deals with an informative ISA system that provides the driver with an advance warning before reaching a road section with singular characteristics that require a lower safe speed than the current speed. In spite of the extensive tests performed using ISA systems, few works show how warnings can be adapted to the driver. This paper describes a method to adapt warning parameters (safe speed on curves, zone of influence of a singular stretch, deceleration process and reaction time) to normal driving behavior. The method is based on a set of tests with and without the ISA system. This adjustment, as well as the analysis of driver acceptance before and after the adaptation and changes in driver behavior (changes in speed and path) resulting from the tested ISA regarding a driver's normal driving style, is shown in this paper. The main conclusion is that acceptance by drivers increased significantly after redefining the warning parameters, but the effect of speed homogenization was not reduced.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 22664666     DOI: 10.1016/j.aap.2010.05.017

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  3 in total

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Journal:  Appl Ergon       Date:  2021-07-15       Impact factor: 3.940

2.  Intravehicular, Short- and Long-Range Communication Information Fusion for Providing Safe Speed Warnings.

Authors:  Felipe Jiménez; Jose Eugenio Naranjo; Francisco Serradilla; Elisa Pérez; María Jose Hernández; Trinidad Ruiz; José Javier Anaya; Alberto Díaz
Journal:  Sensors (Basel)       Date:  2016-01-21       Impact factor: 3.576

3.  An Individual Driving Behavior Portrait Approach for Professional Driver of HDVs with Naturalistic Driving Data.

Authors:  Yi He; Shuo Yang; Xiao Zhou; Xiao-Yun Lu
Journal:  Comput Intell Neurosci       Date:  2022-01-22
  3 in total

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