{"title":"An unconstrained optimization approach to the stochastic traffic assignment with electric vehicles","authors":"Michele Aicardi, Giulio Ferro, Riccardo Minciardi, Michela Robba","doi":"10.1016/j.conengprac.2024.106177","DOIUrl":null,"url":null,"abstract":"<div><div>This paper develops a model for the joint assignment of traffic and energy demand over a network. The vehicles circulating in the network are partly conventional and partly electric. Some of the network links are equipped with electric charging stations. A stochastic model to represent the drivers’ choices is adopted, and Stochastic User Equilibrium (SUE) conditions are used to obtain the steady-state traffic and energy demand assignment. An unconstrained optimization problem is introduced, and it is proven that its solution is equivalent to imposing the set of SUE conditions without any limitation as regards the model representing the user choice function. A real case study related to a tourist area in the Liguria region (from Genoa airport to Portofino) is treated in detail and a further case study is considered to demonstrate the wide applicability of the approach.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"156 ","pages":"Article 106177"},"PeriodicalIF":4.6000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Control Engineering Practice","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967066124003368","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/4 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper develops a model for the joint assignment of traffic and energy demand over a network. The vehicles circulating in the network are partly conventional and partly electric. Some of the network links are equipped with electric charging stations. A stochastic model to represent the drivers’ choices is adopted, and Stochastic User Equilibrium (SUE) conditions are used to obtain the steady-state traffic and energy demand assignment. An unconstrained optimization problem is introduced, and it is proven that its solution is equivalent to imposing the set of SUE conditions without any limitation as regards the model representing the user choice function. A real case study related to a tourist area in the Liguria region (from Genoa airport to Portofino) is treated in detail and a further case study is considered to demonstrate the wide applicability of the approach.
期刊介绍：
Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.
The scope of Control Engineering Practice matches the activities of IFAC.
Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.
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