{"title":"Concurrent optimization of routing and platooning decisions for autonomous truck fleets","authors":"I-Lin Wang , Ying-Ting Lin","doi":"10.1016/j.apmrv.2025.100356","DOIUrl":null,"url":null,"abstract":"<div><div>The growth of e-commerce has led to surging customer demand for fast delivery, resulting in increased costs and emissions from logistics. Autonomous truck platooning seems a promising innovation to improve freight sustainability. It leverages vehicle connectivity to decrease aerodynamic drag and realize substantial fuel savings. However, determining optimal routes and schedules to maximize platooning across fleets presents complex challenges. The present study investigated an optimization model to address the platoon routing problem faced by autonomous trucks. A mixed integer quadratic programming model was designed to optimize vehicle routing and scheduling decisions with platoon coordination. The key innovations were: (1) An integrated optimization objective balancing fuel savings from platooning with route efficiency; (2) A novel time-space network representation for synchronization essential for coordinating platoons. Extensive computational analyses demonstrated that the proposed model scales efficiently and significantly outperforms a state-of-the-art method. The results highlighted that this model enabled sophisticated route optimization that unlocked the environmental and economic benefits of autonomous truck platooning. Together, these findings represent a significant advancement in leveraging vehicle connectivity and automation for sustainable freight transportation.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":"30 2","pages":"Article 100356"},"PeriodicalIF":5.5000,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia Pacific Management Review","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1029313225000028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
The growth of e-commerce has led to surging customer demand for fast delivery, resulting in increased costs and emissions from logistics. Autonomous truck platooning seems a promising innovation to improve freight sustainability. It leverages vehicle connectivity to decrease aerodynamic drag and realize substantial fuel savings. However, determining optimal routes and schedules to maximize platooning across fleets presents complex challenges. The present study investigated an optimization model to address the platoon routing problem faced by autonomous trucks. A mixed integer quadratic programming model was designed to optimize vehicle routing and scheduling decisions with platoon coordination. The key innovations were: (1) An integrated optimization objective balancing fuel savings from platooning with route efficiency; (2) A novel time-space network representation for synchronization essential for coordinating platoons. Extensive computational analyses demonstrated that the proposed model scales efficiently and significantly outperforms a state-of-the-art method. The results highlighted that this model enabled sophisticated route optimization that unlocked the environmental and economic benefits of autonomous truck platooning. Together, these findings represent a significant advancement in leveraging vehicle connectivity and automation for sustainable freight transportation.
期刊介绍:
Asia Pacific Management Review (APMR), peer-reviewed and published quarterly, pursues to publish original and high quality research articles and notes that contribute to build empirical and theoretical understanding for concerning strategy and management aspects in business and activities. Meanwhile, we also seek to publish short communications and opinions addressing issues of current concern to managers in regards to within and between the Asia-Pacific region. The covered domains but not limited to, such as accounting, finance, marketing, decision analysis and operation management, human resource management, information management, international business management, logistic and supply chain management, quantitative and research methods, strategic and business management, and tourism management, are suitable for publication in the APMR.