Aicha Ferjani , Amina El Yaagoubi , Jaouad Boukachour , Claude Duvallet
{"title":"同步货运的优化模拟方法","authors":"Aicha Ferjani , Amina El Yaagoubi , Jaouad Boukachour , Claude Duvallet","doi":"10.1016/j.multra.2024.100151","DOIUrl":null,"url":null,"abstract":"<div><p>In recent years, new concepts such as synchromodality have emerged to help carriers better leverage existing capacities and assets to achieve environmental and socio-economic sustainability. Synchromodality is a vast concept. It involves the intelligent utilization of various transport modes. Its main objective is to enhance the freedom and flexibility to switch between transport modes at transport network nodes. The emergence of synchromodality can be facilitated by optimization and simulation models associated with a sharing web service for decision-making. This article studies the concept of synchromodality in the scientific literature and highlights approaches using simulation and optimization techniques. The major challenge of this study lies in the effective implementation of synchromodality concept in practice, while respecting the instructions and constraints set by freight transport stakeholders from a more generic point of view. For that, we present an implementation of the modal shift on the Seine Axis Corridor. A simulation-optimization framework is proposed to generate reliable transport solutions based on the user preferences and environmental considerations. Finally, we resort to sensitivity analyses to assess the impact of variation of service times.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772586324000327/pdfft?md5=fe58ae58b10308de1f484e87ea9d73f0&pid=1-s2.0-S2772586324000327-main.pdf","citationCount":"0","resultStr":"{\"title\":\"An optimization-simulation approach for synchromodal freight transportation\",\"authors\":\"Aicha Ferjani , Amina El Yaagoubi , Jaouad Boukachour , Claude Duvallet\",\"doi\":\"10.1016/j.multra.2024.100151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In recent years, new concepts such as synchromodality have emerged to help carriers better leverage existing capacities and assets to achieve environmental and socio-economic sustainability. Synchromodality is a vast concept. It involves the intelligent utilization of various transport modes. Its main objective is to enhance the freedom and flexibility to switch between transport modes at transport network nodes. The emergence of synchromodality can be facilitated by optimization and simulation models associated with a sharing web service for decision-making. This article studies the concept of synchromodality in the scientific literature and highlights approaches using simulation and optimization techniques. The major challenge of this study lies in the effective implementation of synchromodality concept in practice, while respecting the instructions and constraints set by freight transport stakeholders from a more generic point of view. For that, we present an implementation of the modal shift on the Seine Axis Corridor. A simulation-optimization framework is proposed to generate reliable transport solutions based on the user preferences and environmental considerations. Finally, we resort to sensitivity analyses to assess the impact of variation of service times.</p></div>\",\"PeriodicalId\":100933,\"journal\":{\"name\":\"Multimodal Transportation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772586324000327/pdfft?md5=fe58ae58b10308de1f484e87ea9d73f0&pid=1-s2.0-S2772586324000327-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Multimodal Transportation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772586324000327\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multimodal Transportation","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772586324000327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An optimization-simulation approach for synchromodal freight transportation
In recent years, new concepts such as synchromodality have emerged to help carriers better leverage existing capacities and assets to achieve environmental and socio-economic sustainability. Synchromodality is a vast concept. It involves the intelligent utilization of various transport modes. Its main objective is to enhance the freedom and flexibility to switch between transport modes at transport network nodes. The emergence of synchromodality can be facilitated by optimization and simulation models associated with a sharing web service for decision-making. This article studies the concept of synchromodality in the scientific literature and highlights approaches using simulation and optimization techniques. The major challenge of this study lies in the effective implementation of synchromodality concept in practice, while respecting the instructions and constraints set by freight transport stakeholders from a more generic point of view. For that, we present an implementation of the modal shift on the Seine Axis Corridor. A simulation-optimization framework is proposed to generate reliable transport solutions based on the user preferences and environmental considerations. Finally, we resort to sensitivity analyses to assess the impact of variation of service times.