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.

Highlights

  • Reliability evaluation of a road network has been extensively studied in the literature

  • While the initial impetus appears to have been derived from the study of major natural events— such as earthquakes [1]—affecting the connectivity of a road network, it has had wider impacts on the way of thinking in which less severe but more frequency-occurring events may affect the operation of a road network [2]

  • Most of the existing studies deal with the connectivity, capacity, or travel time reliability of the link, while node reliability is not taken into account

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Summary

Introduction

Reliability evaluation of a road network has been extensively studied in the literature. Extending the definition of connectivity reliability, system reliability of a road network in this study is defined as a measure of network reliability, given the reliability values of each roadway (link) and intersection (node) component. Objective of this paper is to develop a stochastic simulation (Monte Carlo-based) method to study the system reliability and component probabilistic importance of the road network. First of all, it introduces the concept of system reliability and the Monte Carlo-based algorithm to Mathematical Problems in Engineering calculate the extended connectivity reliability for an O-D pair and the system reliability for the road network. The final section gives some concluding remarks and discussion of future research

System Reliability Measurement
Component Probabilistic Importance Analysis
Numerical Examples
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