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Stochastic Simulation on System Reliability and Component Probabilistic Importance of Road Network

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  • Xiangyu Zhao
  • Dongwei Wang
  • Yadan Yan
  • Ziyuan Gu

Abstract

Because of the combination explosion problem, it is difficult to use probability analytical method to calculate the system reliability of large networks. The paper develops a stochastic simulation (Monte Carlo-based) method to study the system reliability and component probabilistic importance of the road network. The proposed method considers the characteristics of the practical road network as follows: both link (roadway segment) and node (intersection) components are emphasized in the road network; the reliability for a link or node component may be at the in-between state; namely, its reliability value is between 0 and 1. The method is then implemented using the object-oriented programming language C++ and integrated into a RARN-MGG (reliability analysis of road network using Monte Carlo, GIS, and grid) system. Finally, two numerical examples based on a simple road network and a large real road network, respectively, are carried out to characterize the feasibility and to demonstrate the strength of the stochastic simulation method.

Suggested Citation

  • Xiangyu Zhao & Dongwei Wang & Yadan Yan & Ziyuan Gu, 2015. "Stochastic Simulation on System Reliability and Component Probabilistic Importance of Road Network," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-5, January.
    • Handle: RePEc:hin:jnlmpe:456485
    DOI: 10.1155/2015/456485
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    Cited by:

    1. Thi-Phuong Nguyen, 2021. "Assess the Impacts of Discount Policies on the Reliability of a Stochastic Air Transport Network," Mathematics, MDPI, vol. 9(9), pages 1-13, April.

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