Resilient design of recharging station networks for electric transportation vehicles
As societies shift to "greener" means of transportation using electricity-driven vehicles one critical challenge we face is the creation of a robust and resilient infrastructure of recharging stations. A particular issue here is the optimal location of service stations. In this work, we co...
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Published in | 2011 4th International Symposium on Resilient Control Systems pp. 55 - 60 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.08.2011
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Abstract | As societies shift to "greener" means of transportation using electricity-driven vehicles one critical challenge we face is the creation of a robust and resilient infrastructure of recharging stations. A particular issue here is the optimal location of service stations. In this work, we consider the placement of battery replacing service station in a city network for which the normal traffic flow is known. For such known traffic flow, the service stations are placed such that the expected performance is maximized without changing the traffic flow. This is done for different scenarios in which roads, road junctions and service stations can fail with a given probability. To account for such failure probabilities, the previously developed facility interception model is extended. Results show that service station failures have a minimal impact on the performance following robust placement while road and road junction failures have larger impacts which are not mitigated easily by robust placement. |
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AbstractList | As societies shift to "greener" means of transportation using electricity-driven vehicles one critical challenge we face is the creation of a robust and resilient infrastructure of recharging stations. A particular issue here is the optimal location of service stations. In this work, we consider the placement of battery replacing service station in a city network for which the normal traffic flow is known. For such known traffic flow, the service stations are placed such that the expected performance is maximized without changing the traffic flow. This is done for different scenarios in which roads, road junctions and service stations can fail with a given probability. To account for such failure probabilities, the previously developed facility interception model is extended. Results show that service station failures have a minimal impact on the performance following robust placement while road and road junction failures have larger impacts which are not mitigated easily by robust placement. |
Author | Rieger, C. Gupta, A. Venkatasubramanian, V. Villez, K. |
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Snippet | As societies shift to "greener" means of transportation using electricity-driven vehicles one critical challenge we face is the creation of a robust and... |
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SubjectTerms | Cities and towns electrical transportation Facility location Junctions Mathematical model Network optimization Resilience Roads Robustness Vehicles |
Title | Resilient design of recharging station networks for electric transportation vehicles |
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