Research Activities: 2012
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Adapting Risk Management and Computational Intelligence Network Optimization |
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| Status | Complete View Final Report: PDF |
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| Sequential Number | R348 | ||||
| Identification Number | 00042533 | ||||
| Matching Research Agency |
Missouri University of Science & Technology |
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| Principal Investigator |
Donald Wunsch |
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| Student Involvement |
One graduate student |
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Project Objective |
The object of this project is to use computational-intelligence-based risk management and analysis techniques and computer network optimization techniques in the field of transportation. |
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Project Abstract |
Risk management techniques are used to analyze fluctuations in uncontrollable variables and keep those fluctuations from impeding the core function of a system or business. Examples of this are making sure that volatility in copper and aluminum prices do not force an aircraft manufacturer to abruptly shut down manufacturing and making sure a failed bank or state does not cause an entire financial system to fail. Computer network optimization techniques involve many nodes and routes communicating to maximize throughput of data while making sure not to deadlock high priority or time sensitive data. This project will involve exploring possible remappings of these application spaces from risk and computer networks to traffic. Some of these possible mappings include mapping flash crashes and black swans to traffic jams, bank failure to construction or traffic accidents, data packets to vehicles, network routers to traffic lights and other intersection policies. Due to the large data and large solution/ state/ policy spaces computational intelligence techniques are a natural fit for traffic as they are for risk management and computer network optimization. |
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Relationship to other Research/Projects |
Dr. Wunsch has an NSF project on wind energy that uses related methods. |
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Transportation-Related Keywords |
Risk, optimization, data, finance, traffic, infrastructure | ||||
Technology Transfer Activities |
Dr. Wunsch and Mr. Schumacher have formed a company, ASSET LLC, for the application of these and related techniques in financial markets, and computational intelligence software application and development. | ||||
Project Deliverables |
The deliverable for this project is a report demonstrating application of these techniques to transportation / infrastructure related data. | ||||
Anticipated Benefits |
The main anticipated benefit is insight into a new way of analyzing, designing, and optimizing transportation infrastructure and possibly new tools for doing so. |
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Milestones |
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