Literature DB >> 28599134

Self-monitoring of driving speed.

Shelly Etzioni1, Ido Erev2, Robert Ishaq3, Wafa Elias3, Yoram Shiftan3.   

Abstract

In-vehicle data recorders (IVDR) have been found to facilitate safe driving and are highly valuable in accident analysis. Nevertheless, it is not easy to convince drivers to use them. Part of the difficulty is related to the "Big Brother" concern: installing IVDR impairs the drivers' privacy. The "Big Brother" concern can be mitigated by adding a turn-off switch to the IVDR. However, this addition comes at the expense of increasing speed variability between drivers, which is known to impair safety. The current experimental study examines the significance of this negative effect of a turn-off switch under two experimental settings representing different incentive structures: small and large fines for speeding. 199 students were asked to participate in a computerized speeding dilemma task, where they could control the speed of their "car" using "brake" and "speed" buttons, corresponding to automatic car foot pedals. The participants in two experimental conditions had IVDR installed in their "cars", and were told that they could turn it off at any time. Driving with active IVDR implied some probability of "fines" for speeding, and the two experimental groups differed with respect to the fine's magnitude, small or large. The results indicate that the option to use IVDR reduced speeding and speed variance. In addition, the results indicate that the reduction of speed variability was maximal in the small fine group. These results suggest that using IVDR with gentle fines and with a turn-off option maintains the positive effect of IVDR, addresses the "Big Brother" concern, and does not increase speed variance.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Fine size; In vehicle data recorder; Road safety; Self-monitoring; Speed variability; Speeding

Mesh:

Year:  2017        PMID: 28599134     DOI: 10.1016/j.aap.2017.05.024

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


  1 in total

1.  Intelligent Driving Assistant Based on Road Accident Risk Map Analysis and Vehicle Telemetry.

Authors:  José Terán; Loraine Navarro; Christian G Quintero M; Mauricio Pardo
Journal:  Sensors (Basel)       Date:  2020-03-22       Impact factor: 3.576

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.