Stochastic Simulation on System Reliability and Component Probabilistic Importance of Road Network. (21st January 2015)

• Record Type: Journal Article
• Authors: Zhao, Xiangyu; Wang, Dongwei; Yan, Yadan; Gu, Ziyuan
• Other Names: Szeto Wai Yuen Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2015(2015)
• Publication Date: 2015-01-21
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2015/456485
• Languages: English
• ISSNs: 1024-123X

Abstract

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.