Aggregated risk of a series of tunnels on Mumbai–Pune expressway

Jajati K. Jena (), Ajit K. Verma (), Uday Kumar () and Srividya Ajit ()
Additional contact information
Jajati K. Jena: Cyient Limited
Ajit K. Verma: Western Norway University of Applied Sciences
Uday Kumar: Luleå University of Technology
Srividya Ajit: Luleå University of Technology

International Journal of System Assurance Engineering and Management, No 0, 10 pages

Abstract: Abstract In the heavily industrialized western India, on the express way between Mumbai and Pune there is a series of five 03-lane one way tunnels. Risks in the tunnels on the hilly express way are sourced from the heavy goods vehicles often carrying dangerous goods. During the design stage, risk assessment is carried out using theoretical risk models such as OECD/PIARC DG-QRAM. However, during operational stage of a tunnel real time accident data are available to estimate the risk or fatality rate. In this paper a methodology has been developed to estimate aggregated risk of the series of 05 tunnels from the accident rate by Monte-Carlo simulation using simple random sampling technique. It has been found that major accident rate (or risk) is better represented by lognormal distribution.

Keywords: Risk; Aggregate risk; F–N curve; Mumbai–Pune expressway; Lognormal distribution; Gamma distribution; Monte-Carlo method; Simple random sampling (search for similar items in EconPapers)
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-020-00970-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:ijsaem:v::y::i::d:10.1007_s13198-020-00970-3

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-020-00970-3

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().