Next Article in Journal
Complementary Feeding Strategies to Facilitate Acceptance of Fruits and Vegetables: A Narrative Review of the Literature
Next Article in Special Issue
Evaluation Research of the Effects of Longitudinal Speed Reduction Markings on Driving Behavior: A Driving Simulator Study
Previous Article in Journal / Special Issue
Crash Risk Prediction Modeling Based on the Traffic Conflict Technique and a Microscopic Simulation for Freeway Interchange Merging Areas
Article Menu

Export Article

Open AccessArticle
Int. J. Environ. Res. Public Health 2016, 13(11), 1159; doi:10.3390/ijerph13111159

Drivers’ Visual Search Patterns during Overtaking Maneuvers on Freeway

1
Traffic School, Northeast Forestry University, Harbin 150040, China
2
State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
3
Department of Automobile, Chang’an University, Xi’an 710064, China
4
Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China
*
Author to whom correspondence should be addressed.
Academic Editors: Suren Chen and Feng Chen
Received: 31 August 2016 / Revised: 25 October 2016 / Accepted: 10 November 2016 / Published: 19 November 2016
(This article belongs to the Special Issue Traffic Safety and Injury Prevention)
View Full-Text   |   Download PDF [1620 KB, uploaded 19 November 2016]   |  

Abstract

Drivers gather traffic information primarily by means of their vision. Especially during complicated maneuvers, such as overtaking, they need to perceive a variety of characteristics including the lateral and longitudinal distances with other vehicles, the speed of others vehicles, lane occupancy, and so on, to avoid crashes. The primary object of this study is to examine the appropriate visual search patterns during overtaking maneuvers on freeways. We designed a series of driving simulating experiments in which the type and speed of the leading vehicle were considered as two influential factors. One hundred and forty participants took part in the study. The participants overtook the leading vehicles just like they would usually do so, and their eye movements were collected by use of the Eye Tracker. The results show that participants’ gaze durations and saccade durations followed normal distribution patterns and that saccade angles followed a log-normal distribution pattern. It was observed that the type of leading vehicle significantly impacted the drivers’ gaze duration and gaze frequency. As the speed of a leading vehicle increased, subjects’ saccade durations became longer and saccade angles became larger. In addition, the initial and destination lanes were found to be key areas with the highest visual allocating proportion, accounting for more than 65% of total visual allocation. Subjects tended to more frequently shift their viewpoints between the initial lane and destination lane in order to search for crucial traffic information. However, they seldom directly shifted their viewpoints between the two wing mirrors. View Full-Text
Keywords: visual behavior; overtaking; freeway; driving simulator visual behavior; overtaking; freeway; driving simulator
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhang, W.; Dai, J.; Pei, Y.; Li, P.; Yan, Y.; Chen, X. Drivers’ Visual Search Patterns during Overtaking Maneuvers on Freeway. Int. J. Environ. Res. Public Health 2016, 13, 1159.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top