Managing Navigation Channel Traffic and Anchorage Area Utilization of a Container Port

Transportation Science, Forthcoming

71 Pages Posted: 13 Nov 2018

See all articles by Shuai Jia

Shuai Jia

Hong Kong Polytechnic University - Department of Logistics and Maritime Studies; The Hong Kong University of Science and Technology

Chung-Lun Li

Hong Kong Polytechnic University

Zhou Xu

Hong Kong Polytechnic University - Department of Logistics and Maritime Studies

Date Written: September 23, 2018

Abstract

Navigation channels are fairways for vessels to travel in and out of the terminal basin of a container port. The capacity of a navigation channel is restricted by the number of traffic lanes and safety clearance of vessels, and the availability of a navigation channel is usually affected by tides. The limited capacity and availability of a navigation channel could lead to congestion in the terminal basin. When the navigation channels run out of capacity, the anchorage areas in the terminal basin could serve as a buffer. This paper aims to develop a mathematical model which simultaneously optimizes the navigation channel traffic and anchorage area utilization. We provide a mixed integer programming formulation of the problem, analyze its complexity, and propose a Lagrangian relaxation heuristic in which the relaxed problem is decomposed into two asymmetric assignment problems. Computational performance of the Lagrangian relaxation heuristic is tested on problem instances generated based on the operational data of a port in Shanghai. Computational results show that the proposed heuristic is able to achieve satisfactory performance within reasonable computation time.

Keywords: Port Operations; Vessel Traffic Service; Navigation Channels; Anchorage Areas; Lagrangian Relaxation

Suggested Citation

Jia, Shuai and Li, Chung-Lun and Xu, Zhou, Managing Navigation Channel Traffic and Anchorage Area Utilization of a Container Port (September 23, 2018). Transportation Science, Forthcoming , Available at SSRN: https://ssrn.com/abstract=3262383

Shuai Jia (Contact Author)

Hong Kong Polytechnic University - Department of Logistics and Maritime Studies ( email )

9/F, Li Ka Shing Tower
The Hong Kong Polytechnic University
Hong Kong, Hung Hom, Kowloon M923
China

The Hong Kong University of Science and Technology ( email )

Clear Water Bay
Hong Kong

Chung-Lun Li

Hong Kong Polytechnic University ( email )

11 Yuk Choi Rd
Hung Hom
Hong Kong

Zhou Xu

Hong Kong Polytechnic University - Department of Logistics and Maritime Studies ( email )

9/F, Li Ka Shing Tower
The Hong Kong Polytechnic University
Hong Kong, Hung Hom, Kowloon M923
China

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