Paper
14 February 2024 Joint scheduling of trucks and RMGCs under synchronized loading and unloading mode in sea-rail intermodal container terminals
Xiangyu Deng, Mengzhi Ma, Xianglong Li
Author Affiliations +
Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130185K (2024) https://doi.org/10.1117/12.3024036
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
The efficient transfer of containers in the sea-rail intermodal mode hinges on the loading and unloading processes within the port's railway operation area and the horizontal transportation of containers. Considering the development trend toward green ports and the imperative to enhance port operational efficiency, this paper delves into the joint scheduling problem of trucks and rail-mounted gantry cranes (RMGCs). Our objective is to minimize the total energy consumption. We establish a comprehensive scheduling model considering practical constraints like the safe operating distance of RMGCs and loading capacity of trucks under the multi-load mode. We design an adaptive large neighborhood search artificial bee colony hybrid algorithm. Experimental results verify the model and algorithm's feasibility, demonstrating that in scenarios involving multi-load applications for container trucks, more efficient and energy-conserving utilization of various equipment can be achieved through collaborative coordination.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiangyu Deng, Mengzhi Ma, and Xianglong Li "Joint scheduling of trucks and RMGCs under synchronized loading and unloading mode in sea-rail intermodal container terminals", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130185K (14 February 2024); https://doi.org/10.1117/12.3024036
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KEYWORDS
Education and training

Transportation

Computer programming

Mathematical modeling

Mathematical optimization

Safety

Energy efficiency

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