stochastic simulation on system reliability and component probabilistic importance of road network
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ID: 244048
2015
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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.
| Reference Key |
zhao2015mathematicalstochastic
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|---|---|
| Authors | ;Xiangyu Zhao;Dongwei Wang;Yadan Yan;Ziyuan Gu |
| Journal | journal of power sources |
| Year | 2015 |
| DOI |
10.1155/2015/456485
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| URL | |
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