{"title":"Connected and automated vehicle loading system for improving operational inefficiency from human driven vehicle in roll-on/roll-off port operations","authors":"Sang Hyung Park, Sihyun Kim","doi":"10.1080/03081060.2023.2265382","DOIUrl":null,"url":null,"abstract":"This study aims to identify the non-value-adding activities during vehicle stowage operations in automobile terminals and propose a connected automated vehicle (CAV) loading system, a self-driving-car-loading system. Furthermore, the productivity of the CAV loading system is compared with the current loading system. A simulation model of an actual loading system was developed using the software FlexSim. The simulation results showed that the walking time of workers, operation time of shuttle vans, and waiting time occupied a large part of the cycle time in the current operation system. The proposed CAV loading system has eliminated these inefficiencies, and increased productivity by 26.78%. This is the first study to (1) present a self-driving-car-loading system in a simulated automobile terminal of a real-world size, and (2) propose a CAV loading system. Results provide useful insights for the integration of self-driving technology into future automobile port operations.","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Planning and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/03081060.2023.2265382","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This study aims to identify the non-value-adding activities during vehicle stowage operations in automobile terminals and propose a connected automated vehicle (CAV) loading system, a self-driving-car-loading system. Furthermore, the productivity of the CAV loading system is compared with the current loading system. A simulation model of an actual loading system was developed using the software FlexSim. The simulation results showed that the walking time of workers, operation time of shuttle vans, and waiting time occupied a large part of the cycle time in the current operation system. The proposed CAV loading system has eliminated these inefficiencies, and increased productivity by 26.78%. This is the first study to (1) present a self-driving-car-loading system in a simulated automobile terminal of a real-world size, and (2) propose a CAV loading system. Results provide useful insights for the integration of self-driving technology into future automobile port operations.
期刊介绍：
Transportation Planning and Technology places considerable emphasis on the interface between transportation planning and technology, economics, land use planning and policy.
The Editor welcomes submissions covering, but not limited to, topics such as:
• transport demand
• land use forecasting
• economic evaluation and its relationship to policy in both developed and developing countries
• conventional and possibly unconventional future systems technology
• urban and interurban transport terminals and interchanges
• environmental aspects associated with transport (particularly those relating to climate change resilience and adaptation).
The journal also welcomes technical papers of a more narrow focus as well as in-depth state-of-the-art papers. State-of-the-art papers should address transport topics that have a strong empirical base and contain explanatory research results that fit well with the core aims and scope of the journal.
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