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Transportation in the U.S. Critical Infrastructure

Transportation in the U.S. Critical Infrastructure. The Development of a Methodology and Mathematical Model for Assessing the Impacts of K Links Disconnects have on Defined Links of a Network. Outline. Abstract Systems Engineering Process

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Transportation in the U.S. Critical Infrastructure

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  1. Transportation in the U.S. Critical Infrastructure The Development of a Methodology and Mathematical Model for Assessing the Impacts of K Links Disconnects have on Defined Links of a Network

  2. Outline • Abstract • Systems Engineering Process • Critical Infrastructure Protection (CIP): Transportation • Objective • Analysis Process • Research Significance • Resource Allocation • Risk Mitigation • Conclusion

  3. Abstract • By viewing the transportation critical infrastructure (CI) as a system-of-systems (SOS) and using a holistic approach coupled with Systems Engineering (SE) methodologies, it is possible to assess the criticality of a highway network based on disconnects within the network

  4. The Systems Engineering Process • Defining the System – System of Systems

  5. CIP Transportation The transportation sector of the CI sector is vital to US citizens’ way of life as well as how corporations do business

  6. Tonnage Costs Complexity CIP Transportation • CI is increasingly becoming more crucial to the US • Three areas in particular signify its importance Rise in Transportation

  7. CIP Transportation • Rise in Transportation Complexity • Components • Highways • Airports • Rail • Complexity • Intermodal • Destinations • Departures

  8. Objective • To measure the criticality of the network based cost and risk given disconnects occurring within the network • Outcomes • Provide city and government officials a SE methodology to construct a model for understanding the impact of disconnects in the transportation network • Help in the decision making process • Cost reduction • Risk mitigation

  9. Analysis Process • Model • Highway Network

  10. Analysis Process • Mathematical Model to Approximate Costs CONSTRUCTION ACCIDENTS

  11. Analysis Process • Mathematical Model to Approximate Cost

  12. Analysis Process • Mathematical Model to Approximate Cost • Given • Disconnect at node 16 during rush hour • Estimated 7.87 deaths and 19.68 injuries • Roughly 100 linear feet of highway demolished $10,078,833 Cost per death: $1,120,000 Cost per accident: $45,500 Cost per foot: $3,686

  13. Research Significance • Contribution: This dissertation provides officials a decision-making methodology and tool for resource allocation and risk mitigation • Metrics that measure the performance of the network given disconnects occurring • Ranking of K Links affecting the network the most

  14. Example of Model: Performance for a General Metric Research Significance OUTPUTS , …, Sum of Performance

  15. Example of Model Research Significance OUTPUTS Worst K Links = {2,11}, …, {1,12} affecting the Transportation CI the most Performance Best Links 0 is threshold

  16. Research Significance • Decision Making Methodology and Tool

  17. Resource Allocation • Efficiently allocate extra resources • Fire • Police • Surveillance

  18. Risk Mitigation • Heighten Awareness • Develop Emergency and Contingency Plans • Increase Surveillance • Response Faster • Enhance Efficiency Coverage

  19. Conclusion • Proposed a Methodology using a Mathematical Model to Determine Impact of K Links Disconnects have on the Defined Links of a Network for risk mitigation and resource allocation • Research Significance • Society: A Methodology and Tool for Officials to use in the Decision Making Process • Engineering: Systems Engineering Approach for Solving Complex Systems

  20. Systems Engineering Program Jerrell Stracener Director and Scholar in Residence http://engr.smu.edu/emis/sys/

  21. School of Engineering Overview • Academic Departments • Computer Science and Engineering • Electrical Engineering • Engineering Management, Information and Systems (EMIS) • Environmental and Civil Engineering • Mechanical Engineering http://engr.smu.edu/emis/sys/

  22. Academic Programs Research Training Center for Engineering Systems* Program Overview Systems Engineering Program *=planned http://engr.smu.edu/emis/sys/

  23. SEP Partnerships Jerrell Stracener, SMU SEP Defense Acquisition University (DAU) Lockheed Martin NDIA Systems Engineering Division Bob Rassa Raytheon, SAS Steve Kress, Lockheed Martin Missiles & Fire Control Randy Moore, Lockheed Martin Aeronautics Company Russell Vacante DAU Headquarters International Council on Systems Engineering (INCOSE) RMS Partnership Raytheon Brent Wells, SAS Randy Case, NCS Kent Pride, IIS Gunter Daley UGS Russell Vacante DAU Headquarters http://engr.smu.edu/emis/sys/

  24. Planned Research Focus • U.S. Critical Infrastructure Modeling and Analysis utilizing Systems Engineering principles and methods (U.S. Navy SPAWAR CIPC Contract: April 2004) • Systems Reliability Modeling & Analysis • Defense System of Systems Modeling & Analysis utilizing Systems Engineering & Analysis principles and techniques • Time to Failure Prediction Methodology based on based Prognostics and Health Management (PHM) http://engr.smu.edu/emis/sys/

  25. QUESTIONS

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