Impact of Automated Port Operations on Land Slide Freight Corridor Performance: Opportunities, Barriers, and Future Directions with the Port of Long Beach
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2024-08-15
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Corporate Contributors:Port of Long Beach ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Federal Highway Administration
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Edition:9/1/2023–8/15/2024
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Abstract:Seaports play a critical role in enhancing the efficiency of freight transport and supply chains, acting as cost-effective hubs that manage high cargo volumes. The integration of automated technologies such as Automated Guided Vehicles (AGVs) and automated stacking cranes is intended to improve port operations. However, the effectiveness of these automated terminals varies, heavily dependent on the number of AGVs and the yard layout and can strain existing transportation infrastructures. This study assesses AGV performance by examining container dwell times and their impact on congestion in surrounding transport networks. Using a continuous approximation model, the research derives simpler, manageable equations to address port management challenges, analyzing how different configurations and operational strategies affect port efficiency. It also considers the traditional appointment systems at ports like Long Beach Container Terminal, aiming to optimize AGV deployment to reduce dwell times and manage congestion effectively. This study reveals that deploying 100 AGVs at the Long Beach Container Terminal optimally reduces seaside dwell times for priority containers to as low as 1,2, and 4 minutes based on unloading intervals post-ship docking but increases landside dwell times to between 1600 and 7000 minutes, exacerbating congestion in nearby transportation networks and significantly delaying trucks heading inland. The findings suggest that strategic AGV use can significantly enhance port operations while necessitating careful consideration of their impact on local transport infrastructures.
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Main Document Checksum:urn:sha-512:904f9d569bbecbad16c41751e0a3406fada72afcd6c3ce8ac8cbf465069adf0c2d4c925a430eec00d6fb5c7d76d8ed3eaf2da64352c15f60fd92feb86771fc4f
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