Literature DB >> 26072182

A generic approach for examining the effectiveness of traffic control devices in school zones.

Xiaohua Zhao1, Jiahui Li2, Han Ding3, Guohui Zhang4, Jian Rong5.   

Abstract

The effectiveness and performance of traffic control devices in school zones have been impacted significantly by many factors, such as driver behavioral attributes, roadway geometric features, environmental characteristics, weather and visibility conditions, region-wide traffic regulations and policies, control modes, etc. When deploying traffic control devices in school zones, efforts are needed to clarify: (1) whether traffic control device installation is warranted; and (2) whether other device effectively complements this traffic control device and strengthens its effectiveness. In this study, a generic approach is developed to examine and evaluate the effectiveness of various traffic control devices deployed in school zones through driving simulator-based experiments. A Traffic Control Device Selection Model (TCDSM) is developed and two representative school zones are selected as the testbed in Beijing for driving simulation implementation to enhance its applicability. Statistical analyses are conducted to extract the knowledge from test data recorded by a driving simulator. Multiple measures of effectiveness (MOEs) are developed and adopted including average speed, relative speed difference, and standard deviation of acceleration for traffic control device performance quantification. The experimental tests and analysis results reveal that the appropriateness of the installation of certain traffic control devices can be statistically verified by TCDSM. The proposed approach provides a generic framework to assess traffic control device performance in school zones including experiment design, statistical formulation, data analysis, simulation model implementation, data interpretation, and recommendation development.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Driving simulator experiment; Evaluation model; School zone; Traffic control devices

Mesh:

Year:  2015        PMID: 26072182     DOI: 10.1016/j.aap.2015.05.021

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


  1 in total

1.  Quantifying the Effects of Visual Road Information on Drivers' Speed Choices to Promote Self-Explaining Roads.

Authors:  Yuting Qin; Yuren Chen; Kunhui Lin
Journal:  Int J Environ Res Public Health       Date:  2020-04-03       Impact factor: 3.390

  1 in total

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