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Author:

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

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SSCI EI Scopus PubMed

Abstract:

Longitudinal speed reduction markings (LSRMs) are designed to alert drivers to an upcoming change in roadway geometry (e.g. direct connectors with smaller radii). In Beijing, LSRMs are usually installed on direct connectors of urban expressways. The objective of this paper is to examine the influence of LSRMs on vehicle operation and driver behavior, and evaluate the decelerating effectiveness of LSRMs on direct connectors with different radii. Empirical data were collected in a driving simulator, and indicators representing vehicle operation status and driving behavior were proposed. To examine the influence of LSRMs, an analysis segment was defined, which begins 500 m prior to the entering point of the connector and ends at the exiting point of the connector. Furthermore, the analysis segment was evenly divided into a series of subsections; the length of each subsection is 50 m. This definition is introduced based on the assumption that drivers would decelerate smoothly in advance of the connector. The analysis results show that drivers tend to decelerate earlier when the radii were 200 m or 300 m. When approaching the connector, drivers tend to decelerate at 500 m thru 250 m in advance of the connector with a 200 m radius; deceleration happens at 300 m-0 m in advance of the connector with a 300 m radius. On the connector, drivers controlled the throttle pedal use at 100 thru 300 m after the entering point when the radius was 200 m; deceleration occurred in two regions when the radius was 300 m: 0 m-900 m from the entering point, and the last 1,000 m of the connector. The analytical results further revealed that LSRMs would be effective at reducing speeds when the radius of the direct connector was 300 m.

Keyword:

Driving simulation Traffic safety Longitudinal speed reduction markings Direct connector Effectiveness

Author Community:

  • [ 1 ] [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 2 ] [Lin, Zhanzhou]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 3 ] [Rong, Jian]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 4 ] [Ding, Han]Minist Transport, Res Inst Highway, 8 Xitucheng Rd, Beijing 100088, Peoples R China
  • [ 5 ] [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 Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China

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Source :

ACCIDENT ANALYSIS AND PREVENTION

ISSN: 0001-4575

Year: 2018

Volume: 115

Page: 41-52

ESI Discipline: SOCIAL SCIENCES, GENERAL;

ESI HC Threshold:103

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 34

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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