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Multi-Trailer Drop-and-Pull Container Drayage Problem

delete2021-09-01
delete15
PRE
AI
R
Ruiyou Zhang
D
Decheng Wang
J
Junwei Wang *
DOI:10.1109/TITS.2020.2991098delete
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Abstract

Abstract

En 中文
This paper presents a so-called multi-trailer drop-and-pull container drayage (MTDPCD) problem. The MTDPCD problem allows a tractor to carry multiple trailers and a tractor can leave the customer while the container is being packed / unpacked. This mode has been applied in real life and shown its great potential to improve transportation efficiency but not been reported in literature. We model the MTDPCD problem based on node decomposition as a nonlinear program and then linearize it. A backtracking adaptive threshold accepting algorithm is proposed to solve the problem. A named 3-vector procedure is designed to calculate the number of trailers and to check feasibility of solutions. A decoding algorithm including three stages is presented to adjust starting times of trucks given sequences of drayage orders. Experiments based on randomly generated instances validate the aforementioned methodology and indicate that pulling 2 trailers can save about 30% of operating costs than pulling 1 trailer.
Keywords:
Containers
Agricultural machinery
Transportation
Adaptation models
Routing
Load modeling
Container drayage
drop-and-pull mode
backtracking adaptive threshold accepting algorithm
multi-trailer mode
integrated scheduling
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Journal

IEEE Transactions on Intelligent Transportation Systems cover
IEEE Transactions on Intelligent Transportation Systems
IF:
8.4
Papers:
9.5K
Citations:
6.3W

Organization

U
University of Hong Kong
Scholars:
4.1W
Papers: 3.9W
Citations: 10.1W
N
northeastern university - china
Scholars:
3.1W
Papers: 2.7W
Citations: 37