A Systems Engineering Approach for Identifying the Most Critical Links of a Highway System: A Framework Consisting of a Methodology and Mathematical Model

A systems engineering approach is used to propose and develop a methodology and mathematical model for identifying the most critical links of a highway system. There are two main benefits for using the methodology and mathematical model. The first is that it provides analysts a platform for developing efficient models pertinent to highway link criticality. The second is that it helps city officials and decision makers with the analysis and planning process involving the highway system's most critical links. The analysis and planning process includes everything from emergency contingency plans to risk analysis and mitigation.

[1]  Yafeng Yin,et al.  Assessing Performance Reliability of Road Networks Under Nonrecurrent Congestion , 2001 .

[2]  S.D. Wolthusen,et al.  Modeling critical infrastructure requirements , 2004, Proceedings from the Fifth Annual IEEE SMC Information Assurance Workshop, 2004..

[3]  Stephen Wolfram,et al.  Cellular automata as models of complexity , 1984, Nature.

[4]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[5]  John D. Moteff,et al.  Critical Infrastructure and Key Assets: Definition and Identification , 2004 .

[6]  Massimo Marchiori,et al.  Vulnerability and protection of infrastructure networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  Harumi Ito,et al.  Assessing the impact of the September 11 terrorist attacks on U.S. airline demand , 2004, Journal of Economics and Business.

[8]  Eytan Pollak,et al.  Operational analysis framework for emergency operations center preparedness training , 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

[9]  Kalyan Kumar Srinivasan.  TRANSPORTATION NETWORK VULNERABILITY ASSESSMENT: A QUANTITATIVE FRAMEWORK , 2002 .

[10]  John E. Mitchell,et al.  Restoration of Services in Interdependent Infrastructure Systems: A Network Flows Approach , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[11]  Jeffery L. Kennington,et al.  Basic mathematical programming models for capacity allocation in mesh-based survivable networks ☆ , 2007 .

[12]  Hani S. Mahmassani,et al.  An evaluation tool for advanced traffic information and management systems in urban networks , 1994 .

[13]  Glen M. D'Este,et al.  Application of Accessibility Based Methods for Vulnerability Analysis of Strategic Road Networks , 2006 .

[14]  J. Bram,et al.  Measuring the Effects of the September 11 Attack on New York City , 2002 .

[15]  Gerald G. Brown,et al.  Analyzing the Vulnerability of Critical Infrastructure to Attack and Planning Defenses , 2005 .

[16]  H Yang,et al.  RELIABILITY OF TRANSPORT NETWORKS. CHAPTER 9. TRAVEL TIME VERSUS CAPACITY RELIABILITY OF A ROAD NETWORK , 2001 .

[17]  V. Latora,et al.  Vulnerability and Protection of Critical Infrastructures , 2004, cond-mat/0407491.

[18]  Earl E. Lee,et al.  Disruptions in Interdependent Infrastructure Systems : A Network Flows Approach , 2022 .

[19]  Pitu B. Mirchandani,et al.  TRAFFIC ASSIGNMENT USING ITERATED ROUTE-BASED SIMULATION , 2003 .

[20]  Hani S. Mahmassani,et al.  Dynamic simulation-assignment methodology to evaluate in-vehicle information strategies in urban traffic networks , 1990, 1990 Winter Simulation Conference Proceedings.

[21]  Elise Miller-Hooks,et al.  Optimizing Location and Relocation of Response Units in Guarding Critical Facilities , 2005 .

[22]  Martin G. Christopher.  Network Flows: Theory, Algorithms, and Applications , 1994 .

[23]  Christos G. Cassandras,et al.  Vulnerability assessment and allocation of protection resources in power systems , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[24]  Nakayama,et al.  Dynamical model of traffic congestion and numerical simulation. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[25]  Benjamin S. Blanchard,et al.  Logistics engineering and management , 1986 .

[26]  Ronald L. Rardin,et al.  Optimization in operations research , 1997 .

[27]  Hani S. Mahmassani,et al.  Dynamic Trip Assignment-Simulation Model for Intermodal Transportation Networks , 2001 .

[28]  Stephen Wolfram,et al.  Universality and complexity in cellular automata , 1983 .

[29]  D. L. Simms,et al.  Normal Accidents: Living with High-Risk Technologies , 1986 .

[30]  Fumitaka Kurauchi,et al.  Network Capacity Reliability Analysis Considering Traffic Regulation after a Major Disaster , 2006 .

[31]  Stephen A. Szygenda,et al.  Transportation in the Critical Infrastructure: A Holistic Approach Using Systems Engineering Methodologies for Assessing Risk and Cost Impacts Due to Highway Disconnects , 2006 .

[32]  James P. Peerenboom,et al.  Identifying, understanding, and analyzing critical infrastructure interdependencies , 2001 .

[33]  Ravindra K. Ahuja,et al.  Network Flows: Theory, Algorithms, and Applications , 1993 .

[34]  A PREDICTIVE MACROSCOPIC CITY TRAFFIC FLOWS SIMULATION MODEL , 2002 .

[35]  William H. K. Lam,et al.  A Reliability-Based Stochastic Traffic Assignment Model for Network with Multiple User Classes under Uncertainty in Demand , 2006 .

[36]  Helbing.  Improved fluid-dynamic model for vehicular traffic. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[37]  Jit Biswas,et al.  Two Flow Routing Algorithms for the Maximum Concurrent-Flow Problem , 1986, FJCC.

[38]  John E. Mitchell,et al.  Assessing vulnerability of proposed designs for interdependent infrastructure systems , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[39]  Alexander Kossiakoff,et al.  Systems engineering : principles and practices , 2003 .

[40]  A. Terry Bahill,et al.  Requirements development, verification, and validation exhibited in famous failures , 2005 .