Evaluation Model of Road Network Vulnerability and its Genetic Algorithm Solution

Ming Guang He; Yuan Hua Jia; Hua Nan Li

doi:10.4028/www.scientific.net/AMM.587-589.1749

Paper Titles

A New Decision Support Methodology for Subway Operation Management
p.1729

Analysis and Calculation on the Capacity of Stairway in Urban Rail Transit Hubs
p.1733

Determination of the Minimum Departure Interval between Trains with same High-Speed at the Relatively Initial Station
p.1737

Development of German Ecological Comprehensive Transportation and its Enlightenment to China
p.1741

Evaluation Model of Road Network Vulnerability and its Genetic Algorithm Solution
p.1749

Parking Demand Forecast Method of Big City and its Application
p.1753

Research on Building Integrated Urban Rail Transport System Model of the Hohhot
p.1757

Study on Selection of Alliance Cooperation Partner of Freight Transport on a Special Route
p.1761

The System Evaluation of Passenger Station Travelers Satisfaction
p.1766

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 587-589Evaluation Model of Road Network Vulnerability and...

Evaluation Model of Road Network Vulnerability and its Genetic Algorithm Solution

Abstract:

Road network vulnerability is the loss estimate of multiple-link failure in road network cause by unplanned incidents. To evaluate road network vulnerability, the research adopted the improved Beckmann and FIM composite pattern. Then it carries out a solution based on Genetic Algorithm to quantify the road network vulnerability by defining the condition of combination road sections (open or closed) in road network which can find the critical links and nodes in the road network at the same time. The research turns out to be helpful both on road network planning and planning process of resource allocation for mitigation and recovery under disruption (take the snow disaster in southern China for instance).

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Periodical:

Applied Mechanics and Materials (Volumes 587-589)

Pages:

1749-1752

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.587-589.1749

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Online since:

July 2014

Authors:

Ming Guang He, Yuan Hua Jia, Hua Nan Li

Keywords:

Genetic Algorithm (GA), Road Network Vulnerability, Traffic Incident

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