Literature DB >> 25969158

Driving simulator evaluation of drivers' response to intersections with dynamic use of exit-lanes for left-turn.

Jing Zhao1, Meiping Yun2, H Michael Zhang3, Xiaoguang Yang4.   

Abstract

With the worsening of urban traffic congestion in large cities around the world, researchers have been looking for unconventional designs and/or controls to squeeze more capacity out of intersections, the most common bottlenecks of the road network. One of these innovative intersection designs, known as the exit-lanes for left-turn (EFL), opens up exit-lanes to be used by left-turn traffic with the help of an additional traffic light installed at the median opening (the pre-signal). This paper studies how drivers respond to EFL intersections with a series of driving simulator experiments. In our experiments, 64 drivers were recruited and divided into two groups. One group is trained to use the EFL while the other group is not. In addition, four scenarios were considered with different sign and marking designs and traffic conditions in the experiments. Results indicate that drivers show certain amount of confusion and hesitation when encountering an EFL intersection for the first time. They can be overcome, however, by increasing exposure through driver education or by cue provided from other vehicles. Moreover, drivers unfamiliar with EFL operation can make a left turn using the conventional left-turn lanes as usual. The EFL operation is not likely to pose any serious safety risk of the intersection in real life operations.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Driver behavior; Driving simulator; Intersections with exit-lanes for left-turn use; Unconventional design

Mesh:

Year:  2015        PMID: 25969158     DOI: 10.1016/j.aap.2015.04.028

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


  2 in total

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Authors:  Jing Zhao; Peng Li; Xizhao Zhou
Journal:  PLoS One       Date:  2016-01-04       Impact factor: 3.240

2.  Vehicle yielding probability estimation model at unsignalized midblock crosswalks in Shanghai, China.

Authors:  Jairus Odawa Malenje; Jing Zhao; Peng Li; Yin Han
Journal:  PLoS One       Date:  2019-03-14       Impact factor: 3.240

  2 in total

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