Reliability-based design of sight distance at railroad grade crossings
Said M. Easa
Transportation Research Part A: Policy and Practice, 1994, vol. 28, issue 1, 1-15
Abstract:
The existing method of sight distance design at railroad crossings is deterministic. This paper presents a probabilistic method that accounts for the variations of the component design variables and their correlations. Two cases are considered. Case 1 addresses the sight distance needs along the highway and the railroad for an approaching vehicle. Case 2 addresses the sight distance needs along the railroad for a stopped vehicle. The probabilistic method is based on the advanced first-order second moment of reliability analysis. Case 1 is modeled as a system with two parallel components. The probability of failure of each component and the system probability of failure are developed. Case 2 is modeled as a single-component system, and a design graph for sight distance needs along the railroad is presented. The method is validated using Monte Carlo simulation; its application is illustrated using numerical examples; and the sensitivity of the design variables is examined. The proposed method should result in safer operations at railroad grade crossings.
Date: 1994
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0965-8564(94)90038-8
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:28:y:1994:i:1:p:1-15
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose
More articles in Transportation Research Part A: Policy and Practice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().