An Optimal Routing Framework for an Integrated Urban Power–Gas–Traffic Network
This paper develops a risk-averse-based framework for optimizing the operation of an integrated power, gas, and traffic (PGT) network with an application to a typical PGT network in downtown Edmonton, the forefront of Canada’s transition to electric vehicles and sustainable urban travel o...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Intelligent Transportation Systems |
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| Online Access: | https://ieeexplore.ieee.org/document/10481512/ |
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| author | Mohammad Jadidbonab Hussein Abdeltawab Yasser Abdel-Rady I. Mohamed |
| author_facet | Mohammad Jadidbonab Hussein Abdeltawab Yasser Abdel-Rady I. Mohamed |
| author_sort | Mohammad Jadidbonab |
| collection | DOAJ |
| description | This paper develops a risk-averse-based framework for optimizing the operation of an integrated power, gas, and traffic (PGT) network with an application to a typical PGT network in downtown Edmonton, the forefront of Canada’s transition to electric vehicles and sustainable urban travel options. The developed non-probabilistic framework provides decision-makers with various secure options to avoid worst-case scenarios and promote social and environmental benefits. The integration of different energy systems allows operators to pursue optimal strategies in critical situations, such as facility outages, maintaining the system within a secure operational range without resorting to expensive workarounds. The proposed algorithm and integrated structure can select optimal travel routes to minimize gas-emission effects and locate charging options to reduce electric vehicle users’ travel time. It can mitigate challenges posed by distributed generator outages and roadway closures. The numerical results from implementing the framework on different case studies and the solar-based PGT network of Edmonton indicate its feasibility and effectiveness. |
| format | Article |
| id | doaj-art-5b1763209f4f431b8cd9400bae0576d2 |
| institution | Kabale University |
| issn | 2687-7813 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Intelligent Transportation Systems |
| spelling | doaj-art-5b1763209f4f431b8cd9400bae0576d22025-01-24T00:02:34ZengIEEEIEEE Open Journal of Intelligent Transportation Systems2687-78132024-01-01522323710.1109/OJITS.2024.338056910481512An Optimal Routing Framework for an Integrated Urban Power–Gas–Traffic NetworkMohammad Jadidbonab0https://orcid.org/0000-0003-3772-9770Hussein Abdeltawab1https://orcid.org/0000-0003-4896-9809Yasser Abdel-Rady I. Mohamed2https://orcid.org/0000-0002-4351-9457Department of Electrical and Computer Engineering, University of Alberta, Edmonton, CanadaEngineering Department, Wake Forest University, Winston-Salem, NC, USADepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, CanadaThis paper develops a risk-averse-based framework for optimizing the operation of an integrated power, gas, and traffic (PGT) network with an application to a typical PGT network in downtown Edmonton, the forefront of Canada’s transition to electric vehicles and sustainable urban travel options. The developed non-probabilistic framework provides decision-makers with various secure options to avoid worst-case scenarios and promote social and environmental benefits. The integration of different energy systems allows operators to pursue optimal strategies in critical situations, such as facility outages, maintaining the system within a secure operational range without resorting to expensive workarounds. The proposed algorithm and integrated structure can select optimal travel routes to minimize gas-emission effects and locate charging options to reduce electric vehicle users’ travel time. It can mitigate challenges posed by distributed generator outages and roadway closures. The numerical results from implementing the framework on different case studies and the solar-based PGT network of Edmonton indicate its feasibility and effectiveness.https://ieeexplore.ieee.org/document/10481512/Traffic networktravel timeorigin-destination pairpower-gas networkinformation gap theory |
| spellingShingle | Mohammad Jadidbonab Hussein Abdeltawab Yasser Abdel-Rady I. Mohamed An Optimal Routing Framework for an Integrated Urban Power–Gas–Traffic Network IEEE Open Journal of Intelligent Transportation Systems Traffic network travel time origin-destination pair power-gas network information gap theory |
| title | An Optimal Routing Framework for an Integrated Urban Power–Gas–Traffic Network |
| title_full | An Optimal Routing Framework for an Integrated Urban Power–Gas–Traffic Network |
| title_fullStr | An Optimal Routing Framework for an Integrated Urban Power–Gas–Traffic Network |
| title_full_unstemmed | An Optimal Routing Framework for an Integrated Urban Power–Gas–Traffic Network |
| title_short | An Optimal Routing Framework for an Integrated Urban Power–Gas–Traffic Network |
| title_sort | optimal routing framework for an integrated urban power x2013 gas x2013 traffic network |
| topic | Traffic network travel time origin-destination pair power-gas network information gap theory |
| url | https://ieeexplore.ieee.org/document/10481512/ |
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