Design and implementation of decision support for traffic management at multipurpose port gates

Ketki Kulkarni, Hoong Chuin Lau, Hai Wang, Sathyavarathan Sivabalasingam, Khiem Trong Tran

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)


Effective traffic management can help port operators gain a competitive edge in service level and efficient use of limited resources. One critical aspect of traffic management is gate operations management, ensuring a good customer experience to logistic carriers and considering the impact of congestion in and around the port. In this paper, we describe the design and implementation of a decision support tool to help gate operators plan for future scenarios with fluctuating demand and limited resources. We propose a simulation-optimization framework which incorporates theoretical results from queuing theory to approximate complex multi-lane multi-server systems. Our major contribution in this paper is the demonstration that the proposed design, when coupled with real data, can indeed help port operators improve their performances. To provide concrete real-world evidence that such technology has benefits, we have tested the system operationally since December 2017 and present the results and analysis in this paper.

Original languageEnglish
Title of host publicationProceedings of the 2008 Winter Simulation Conference, WSC 2018 : Simulation for a Noble Cause
Number of pages12
Publication date02.07.2018
Article number8632493
ISBN (Electronic)978-1-5386-6572-5
Publication statusPublished - 02.07.2018
MoE publication typeA4 Article in conference proceedings
EventWinter Simulation Conference - Gothenburg, Sweden
Duration: 09.12.201812.12.2018
Conference number: 2018

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


  • 214 Mechanical engineering
  • logic gates
  • tools
  • optimization
  • mathematical model
  • stochastic processes
  • logistics
  • planning


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