{"title":"收费基础设施与定价策略:如何适应不同视角?","authors":"Amir Mirheli, L. Hajibabai","doi":"10.1109/ITSC45102.2020.9294508","DOIUrl":null,"url":null,"abstract":"The environmental and economic advantages of renewable-energy technologies inspire efforts to encourage the use of electric vehicles (EVs) by business owners and individuals. Large-scale electric mobility is affected by inadequate charging infrastructure and battery technology. This study formulates a bi-level optimization program that aims to minimize the cost of EV charging facility deployment and utilization considering EV users’ travel and charging expenses. A hybrid methodology is developed that (i) converts the proposed formulation into an equivalent single-level formulation, (ii) implements an active-set based technique, and (iii) estimates travel costs using a macroscopic fundamental diagram (MFD) concept. Numerical experiments on an empirical case study show the performance of the proposed algorithm and some managerial insights. The results are also compared to a benchmark algorithm, which indicate that the proposed methodology can determine near-optimal solutions efficiently.","PeriodicalId":394538,"journal":{"name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Charging Infrastructure and Pricing Strategy: How to Accommodate Different Perspectives?\",\"authors\":\"Amir Mirheli, L. Hajibabai\",\"doi\":\"10.1109/ITSC45102.2020.9294508\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The environmental and economic advantages of renewable-energy technologies inspire efforts to encourage the use of electric vehicles (EVs) by business owners and individuals. Large-scale electric mobility is affected by inadequate charging infrastructure and battery technology. This study formulates a bi-level optimization program that aims to minimize the cost of EV charging facility deployment and utilization considering EV users’ travel and charging expenses. A hybrid methodology is developed that (i) converts the proposed formulation into an equivalent single-level formulation, (ii) implements an active-set based technique, and (iii) estimates travel costs using a macroscopic fundamental diagram (MFD) concept. Numerical experiments on an empirical case study show the performance of the proposed algorithm and some managerial insights. The results are also compared to a benchmark algorithm, which indicate that the proposed methodology can determine near-optimal solutions efficiently.\",\"PeriodicalId\":394538,\"journal\":{\"name\":\"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC45102.2020.9294508\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC45102.2020.9294508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Charging Infrastructure and Pricing Strategy: How to Accommodate Different Perspectives?
The environmental and economic advantages of renewable-energy technologies inspire efforts to encourage the use of electric vehicles (EVs) by business owners and individuals. Large-scale electric mobility is affected by inadequate charging infrastructure and battery technology. This study formulates a bi-level optimization program that aims to minimize the cost of EV charging facility deployment and utilization considering EV users’ travel and charging expenses. A hybrid methodology is developed that (i) converts the proposed formulation into an equivalent single-level formulation, (ii) implements an active-set based technique, and (iii) estimates travel costs using a macroscopic fundamental diagram (MFD) concept. Numerical experiments on an empirical case study show the performance of the proposed algorithm and some managerial insights. The results are also compared to a benchmark algorithm, which indicate that the proposed methodology can determine near-optimal solutions efficiently.