Literature DB >> 23891877

To signal or not to signal: that should not be the question.

Harold W Faw1.   

Abstract

The purpose of the present research was to examine rates of turn signal use, a positive and potentially valuable means by which drivers can communicate. A second purpose was to explore factors that might impact these rates, including the modeling influence of other drivers. A series of observations involving more than 5600 vehicles making turns were recorded at a variety of intersections in British Columbia, Canada. Though the occurrence of signal use varied widely, ranging from a low of 54% to a high of 95%, the overall rate was 76%. Drivers used turn signals significantly less often when making right as compared with left turns, when traffic volume was higher, and when a designated turning lane was provided. In addition, compared with drivers following another vehicle not using signals, those following a vehicle with turn signals on were significantly more likely to activate their turn signals, suggesting a possible modeling effect. Both internal and external influences on turn signal use by drivers were considered. External factors explored in this research included direction of turn, traffic volume, intersection configuration, and the example of other drivers. It was concluded that the practice of signaling turns merits more research attention, since consistent use of signals is a potential contributor to enhanced safety for all road users.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Driver behavior; Modeling; Observational methods; Road safety; Turn signal use

Mesh:

Year:  2013        PMID: 23891877     DOI: 10.1016/j.aap.2013.06.036

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


  2 in total

1.  Left-turning vehicle-pedestrian conflicts at signalized intersections with traffic lights: Benefit or harm? A two-stage study.

Authors:  Yi-Ling He; Ruo-Tong Li; Li Li; David C Schwebel; He-Lai Huang; Qing-Yi Yin; Guo-Qing Hu
Journal:  Chin J Traumatol       Date:  2019-03-11

2.  Vehicle Trajectory Prediction with Lane Stream Attention-Based LSTMs and Road Geometry Linearization.

Authors:  Dongyeon Yu; Honggyu Lee; Taehoon Kim; Sung-Ho Hwang
Journal:  Sensors (Basel)       Date:  2021-12-06       Impact factor: 3.576

  2 in total

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