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Journal of Advanced Transportation
Volume 2018 (2018), Article ID 1768536, 14 pages
Research Article

A Simheuristic Method for the Reversible Lanes Allocation and Scheduling Problem at Smart Container Terminal Gate

1State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China
2Mobilities and Urban Policy Lab, Graduate School for International Development and Cooperation, Hiroshima University, Hiroshima, Japan
3College of Transport & Communications, Shanghai Maritime University, Shanghai 201306, China

Correspondence should be addressed to Yun Peng

Received 7 September 2017; Revised 9 January 2018; Accepted 16 January 2018; Published 12 February 2018

Academic Editor: Ludovic Leclercq

Copyright © 2018 Wenyuan Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Under the constraints of limited spaces and imbalanced traffic volumes (for both in and out directions) of container gates, reversible lane layouts become an economical and practical way to improve the service level of container terminal systems and make the maximum use of the current terminal resources. Together with a consideration of minimized total costs (both construction and operating) of terminal gate system, this paper first developed an optimization model to decide the number and scheduling rules of the reversible lanes at a terminal gate. A metaheuristic algorithm was built to solve the optimal model. Meanwhile, to reflect the randomness and dynamics property of the terminal gate system in practice, parameters that cannot be calculated from conventional analytic methods are obtained through a simulation model. Finally, a hub container terminal in the northeast of China was employed to verify the effectiveness of the proposed method and provide a theoretical foundation for the construction and management of terminal gate systems.