Multiple AGV conflict-free dynamic routing model in automated terminals considering congestion factors

  • ZENG Qing-cheng ,
  • LI Ming-ze ,
  • XUE Guang-shun
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  • Maritime Economics and Management College, Dalian Maritime University, Dalian 116026,China)

Received date: 2019-02-11

  Revised date: 2019-06-10

  Online published: 2019-06-10

Abstract

Aiming at the scheduling optimization of the horizontal transportation system in automated container terminals, this paper proposed an automatic guided vehicle(AGV ) dynamic routing strategy, in which path generation and dynamic path optimization of multiple AGV transportation system were processed simultaneously. From the perspective of AGV transportation operation time, a multiple AGV routing model considering congestion factors was established to optimize AGV routing scheme. A multi-group ant colony algorithm based on the dynamic routing strategy has been designed to solve the model, and the validity of the model and algorithm was verified.The results show that the dynamic routing strategy can dynamically control and optimize the routing process. Meanwhile, considering the congestion factors could effectively solve the congestion in the horizontal transportation network and improve the efficiency of AGV transportation operations.

Cite this article

ZENG Qing-cheng , LI Ming-ze , XUE Guang-shun . Multiple AGV conflict-free dynamic routing model in automated terminals considering congestion factors[J]. Journal of Dalian Maritime University, 2019 , 45(4) : 35 -44 . DOI: 10.16411/j.cnki.issn1006-7736.2019.04.006

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