An interdiction model of highway transportation
ResearchPublished 1966
Description of a computer program to evaluate the capability of transportation networks to deliver supplies, as road segments or arcs of the network are successively destroyed and repaired. The program, written in FORTRAN IV, can be adapted for any of several large-scale computers. Required inputs are a description of the considered transportation road system and the cargo-carrying vehicles using it. The program furnishes a profile of maximum cargo flow as a function of the number of vehicles available to the system, then destroys the link in the network that reduces cargo flow rate most severely. These steps are repeated until network flow is stopped or predesignated links destroyed. The program then steps to the next "period," restores service to all previously destroyed links now repaired, and repeats the process of profile generation and link removal. The program will accept a network up to 1,000 links.
Topics
Document Details
- Copyright: RAND Corporation
- Availability: Web Only
- Year: 1966
- Pages: 34
- Document Number: RM-4945-PR
Citation
RAND Style Manual
Chicago Manual of Style
This publication is part of the RAND research memorandum series. The research memorandum series, a product of RAND from 1948 to 1973, included working papers meant to report current results of RAND research to appropriate audiences.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.