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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Transactions on...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Transactions on Intelligent Transportation Systems
Article . 2021 . Peer-reviewed
License: IEEE Copyright
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Multi-Trailer Drop-and-Pull Container Drayage Problem

Authors: Ruiyou Zhang; Decheng Wang; Junwei Wang 0001;

Multi-Trailer Drop-and-Pull Container Drayage Problem

Abstract

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
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