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Highway Risk Mitigation through Systems Engineering

Highway Risk Mitigation through Systems Engineering. Terms and Definitions. Critical Infrastructure (CI) System Transportation CI System of Systems (SoS) Major Cities City Boundary Network. Terms and Definitions. Movement of Goods Trucks Peak Traffic Normal Traffic Other Traffic

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Highway Risk Mitigation through Systems Engineering

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  1. Highway Risk Mitigation through Systems Engineering

  2. Terms and Definitions • Critical Infrastructure (CI) • System • Transportation CI • System of Systems (SoS) • Major Cities • City Boundary • Network

  3. Terms and Definitions • Movement of Goods • Trucks • Peak Traffic • Normal Traffic • Other Traffic • Days of Operation

  4. Terms and Definitions • Node • Arc  Link • Disconnect • Shortest Path • Steady State • Snapshot of System • Highway • Defined Links • Worst Link • Best Link

  5. Objective • The objective of this dissertation is to develop a methodology, using a SE approach, and apply the methodology to a mathematical model, using performance metrics such as travel time and flow, to simulate the impacts K Links disconnects have on highway networks of major metropolitan cities for risk mitigation and resource allocation

  6. Brief Literature Review • SE • Osmundson et al, The Journal of The International Council on Systems Engineering (INCOSE), 2004 • Tahan et al, The Journal of The INCOSE, 2005 • Bahill et al, The Journal of The INCOSE, 2005 • Blanchard et al, “Stems Engineering and Analysis”, 1990 • INCOSE, “Systems Engineering Handbook”, 2004 • Hazelrigg, “Sys. Eng.: An Approach to Information-Based Design” 1996 • Miller et al, “Systems Engineering Management”, 2002 • Stock et al, “Strategic Logistics Management”, 1993 • Ibarra et al, Conference for Systems Engineering, 2005 • Blanchard, “Logistics Engineering and Management”, 2004 • US Department of Homeland Security, “Budget in Brief, Fiscal Year 2005”

  7. Brief Literature Review • Modeling • Osmundson et al, The Journal of The International Council on Systems Engineering (INCOSE), 2004 • Bahill et al, The Journal of The INCOSE, 2005 • Sathe et al, Transportation Research Board, 2005 • Jain et al, Transportation Science, 1997 • Arroyo et al, Transportation Research Board, 2005 • Rardin, “Optimizations in Operations Research”, 1998 • Rinaldi et al, IEEE Control System Magazine, 2001 • Murray-Tuite, Dissertation, 2003 • Yan et al, IEEE/ACM, 2000 • Orda et al, IEEE/AMC, 2003

  8. 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

  9. Information Flow Research Significance Network L1 L2 L3 • Output • Performance: • Travel Time/Throughput Input Single Disconnect; 1/0 I35W I35E Hwy 75 I30 L4 I=1 I20 I20 L9 L5 I=1 I35W I35E I45 • Variables • Temporal • Time of Day: I =1, 2, 3 (peak, norm, other) • Links: l =(i,j), [(i+1), (j+1)],…, (i+n, j+n) L8 L7 L6

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

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

  12. Research Significance • Decision Making Methodology and Tool

  13. The Systems Engineering Process System Solution System Requirements Functional Analysis V System Objective Validate & Verify Simulation Processing Time City Boundary Simulation Processing Time Section of City Small Network Enumeration Actual Model

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

  15. The Systems Engineering Process • Need Analysis • Stakeholders • City • State and Federal • Business • Society

  16. The Systems Engineering Process • Requirements • Mission Definition • Performance and Physical Parameters • Use Requirements

  17. The Systems Engineering Process • Transportation CI SoS • INPUT • Disconnects • Hrs of Op. • PROCESS • Mathematical • model • OUTPUT • Performance Components Perf. of Defined Links Efficiently Finding K Links Movement of Goods Relationships • Flow • Distance • Links • Nodes • Efficiency • of model • Disconnects • Hours of • operation Attributes

  18. The Systems Engineering Process • Ground Rules and Assumptions • Highway • Major Cities • Steady State • Disconnect • Shortest Path • Snapshot of System

  19. The Systems Engineering Process • Metrics • Performance of Network • Travel Time • Throughput

  20. The Systems Engineering Process • Model • Most naive process • Disconnect Link (Ai,j) subject to Time (tn) • Simulate Network Performance • Connect Link (Ai,j) • Repeat until all links tested

  21. The Systems Engineering Process • Model (Continued) • Objective • Performance of Network based on Defined Links • Constraints • Mathematical model of how the system responds to changes in variables • Variables • Time of Day • Disconnected Links

  22. Time, Flow Example of Model: Effects of Disconnect on Link (a,b) D Avg. T = 2.5 Min/Veh

  23. The Systems Engineering Process Example of Model

  24. Validation and Verification The Systems Engineering Process • SE Approach • Integrations Process • Verify and Validate Requirements • Model • Small Network • Enumeration • Efficiency of Model V

  25. Conclusion • Transportation CI is important • To individuals’ way of life • To companies’ way of doing business • 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

  26. Conclusion • Research Significance • Society: A Methodology and Tool for Officials to use in the Decision Making Process • Engineering: Systems Engineering Approach for Solving Complex Systems

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