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Author:

Ding, Han (Ding, Han.) | Zhao, Xiaohua (Zhao, Xiaohua.) | Rong, Jian (Rong, Jian.) (Scholars:荣建) | Ma, Jianming (Ma, Jianming.)

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SSCI EI Scopus PubMed

Abstract:

The objective of this paper is to test the effectiveness and adaptability of speed reduction markings (SRMs) in downhill sections on urban roads with distinct roadway grades. Empirical data including vehicle speed and acceleration were collected in a driving simulator. Subjective questionnaires were conducted, and two indexes - the relative speed difference and standard deviation of acceleration - were developed to evaluate the effectiveness and adaptability of SRMs. Meanwhile, the effectiveness of driving simulator related to different road alignments and types of SRMs has been validated through a field test. Results of subjective questionnaires showed that the majority of subjects had no feelings of nervousness, but they were affected by SRMs while driving through downhill sections in all four scenarios (i.e., downhill sections with vertical grades of 3, 2, 1.5 and 1%). In terms of vehicle speed and acceleration, the results of the analysis of variance (ANOVA) and the contrast analysis (S-N-K method) indicated that SRMs were significantly effective when roadway grades of downgrade sections were 1.5, 2 and 3%, while transverse speed reduction markings (TSRMs) had significantly worse adaptability (P < 0.05). Therefore, this research recommends that TSRMs could be placed in downhill sections with roadway grades of 1.5 or 2%; longitudinal speed reduction markings (LSRMs) could be placed in downhill sections with a roadway grade of 3%. Whether SRMs are placed in downhill sections with a roadway grade of 1% would depend on other factors such as financial issues and crash records, which are not considered in this paper. (C) 2014 Elsevier Ltd. All rights reserved.

Keyword:

Roadway grade Adaptability Effectiveness Driving simulator Downhill sections Speed reduction markings

Author Community:

  • [ 1 ] [Ding, Han]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 2 ] [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 3 ] [Rong, Jian]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 4 ] [Ma, Jianming]Texas Dept Transportat, Traff Operat Div, Austin, TX 78701 USA

Reprint Author's Address:

  • [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China

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Source :

ACCIDENT ANALYSIS AND PREVENTION

ISSN: 0001-4575

Year: 2015

Volume: 75

Page: 119-127

ESI Discipline: SOCIAL SCIENCES, GENERAL;

ESI HC Threshold:137

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 49

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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