Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2016
Abstract
Effective management of land-side transportation provides the competitive advantage to port terminal operators in improving services and efficient use of limited space in an urban port. We present a hybrid simulation model that combines traffic-flow modeling and discrete-event simulation for land-side port planning and evaluation of traffic conditions for a number of what-if scenarios. We design our model based on a real-world case of a bulk cargo port. The problem is interesting due to complexity of heterogeneous closed-looped internal vehicles and external vehicles traveling in spaces with very limited traffic regulation (no traffic lights, no traffic wardens) and the traffic interactions with port operations such as loading and unloading cargos. Our simulation results show interesting decision-support scenarios for decision makers to evaluate future port planning possibilities and to derive regulation policies governing the port traffic.
Keywords
hybrid simulation, traffic, optimization, port operation
Discipline
Computer Sciences | Operations Research, Systems Engineering and Industrial Engineering | Transportation
Research Areas
Intelligent Systems and Optimization
Publication
WSC 2016: Winter Simulation Conference, Washington, DC, December 11-14: Proceedings
First Page
2382
Last Page
2393
ISBN
9781509044863
Identifier
10.1109/WSC.2016.7822278
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
LI, Baoxiang; Kar Way TAN; and TRAN, Trong Khiem.
Traffic Simulation Model for Port Planning and Congestion Prevention. (2016). WSC 2016: Winter Simulation Conference, Washington, DC, December 11-14: Proceedings. 2382-2393.
Available at: https://ink.library.smu.edu.sg/sis_research/3376
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/WSC.2016.7822278
Included in
Computer Sciences Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Transportation Commons