Evidence map›Paper›PMID 27869764›Full record

ArticleInternational journal of environmental research and public health2016

Drivers' Visual Search Patterns during Overtaking Maneuvers on Freeway.

Wenhui Zhang, Jing Dai, Yulong Pei, Penghui Li, Ying Yan, Xinqiang Chen

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Analysis of Traffic Signs Information Volume Affecting Driver's Visual Characteristics and Driving Safety.International journal of environmental research and public health · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Wenhui ZhangTraffic School, Northeast Forestry University, Harbin 150040, China. rayear@163.com.
Jing DaiTraffic School, Northeast Forestry University, Harbin 150040, China. andychen166168@163.com.
Yulong PeiTraffic School, Northeast Forestry University, Harbin 150040, China. peiyulong@nefu.edu.cn.
Penghui LiState Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China. liph2013@163.com.
Ying YanDepartment of Automobile, Chang'an University, Xi'an 710064, China. yanying2199@chd.edu.cn.
Xinqiang ChenMerchant Marine College, Shanghai Maritime University, Shanghai 201306, China. chenxinqiang2005@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Eye MovementsAccelerationAccidents, TrafficAdultAutomobile DrivingFemaleHumansMaleMiddle Ageddriving simulatorfreewayovertakingvisual behavior

Identifiers

PMID27869764
PMCPMC5129369

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.