Abstract
With the continuous development of maritime-hardware systems, intelligent decision making in port transport becomes increasingly more important. There are three types of waterways in China, which is specific about one-way waterways, two-way waterways, and compound waterways. Modelling of vessel-scheduling optimization in ports aims at giving a concrete contribution to efficient, safe, and environmentally friendly maritime transport. The model will service to innovative the e-navigational shipping industry, which can lay the groundwork for a future vessel traffic service (VTS). These studies assess the effects of channel and berth resources to improve the operation efficiency of ports using a multi-objective vessel scheduling–optimization model. Taking the minimum total scheduling and waiting times of vessels, the model was established based on these waterways by considering safety, efficiency, and fairness. To solve the proposed model, a multi-objective genetic algorithm (MOGA) was used in this paper. Compared with the first-come, first-served (FCFS) scheduling method, the capacity-conversion times of vessels entering and leaving a port and the total scheduling time are decreased efficiently. These works contribute to improving the safety and optimization of ship scheduling catering to the intelligence trends of future maritime service portfolios (MSP).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Byeong-Deok YEA (2009) Introduction of the Standardization in VTS data exchange. In: Proceedings of Asia navigation conference
Oh S, Seo D, Lee B (2015) S3(Secure Ship to Ship) Information sharing scheme using ship authentication in the e-navigation. Int J Secur Appl 9:97–110
Lee B, Park N (2012) Seurity architecture of inter VTS exchange format protocol for secure e-navigation. Embedded Multimedia Comput Tech Serv 181:229–236
Zhang A (2013) Research on some key techniques of dynamic information services in e-Navigation. Wuhan
Huang C, Chang S (2013) Onboard integration of maritime safety information. In: 12th International Conference on ITS Telecommunications
IALA Gideline NO. 1107 on The Reporting of Results of e-Navigation Testbeds, Dec 2013
Xu G, Guo T, Wu Z (2008) Optimum scheduling model for ship in/outbound harbor in one-way traffic fairway. J Dalian Marit Univ 24(4):150–153,157
Ozgecan S, Tutun U (2008) Performance Modeling and risk analysis of transit vessel traffic in the Istanbul strait: Studies on queues with multiple types of interruptions. The State University Of New Jersey, Rutgers
Verstichel J, De Causmaecker P, Berghe GV (2011) Scheduling algorithms for the lock scheduling problem. Procedia-Soc Behav Sci 20:806–815
Dragovic B, Park NK, Radmilovic Z (2006) Ship-berth link performance evaluation: simulation and analytical approaches. Marit Policy Manage: Flagship J Int Shipping Port Res 33(3):281–299
Pachakis D, Kiremidjian AS (2003) Ship traffic modeling methodology for ports. J Waterw Port Coast Ocean Eng 129(5):193–202
Li P, Sun J, Han H (2006) The algorithm for the berth scheduling problem by the hybrid optimization strategy GASA. J Tianjin Univ Tech 22(4):58–61
Reinhardt LB et al (2016) The liner shipping berth scheduling problem with transit times. Transp Res Part E Logistics Transp Rev 86:116–128
Song DP, Li D, Drake P (2015) Multi-objective optimization for planning liner shipping service with uncertain port times. Transp Res Part E Logistics Transp Rev 84:1–22
Acknowledgements
This work was financially supported by the National Natural Science Foundation of China (Grant No. 51309043), the Fundamental Research Funds for the Central Universities (Grant No. 3132016315), the Outstanding Young Scholars Growth Plan of LiaoNing Province (Grant No. LJQ201405), a basic research project of Key Laboratory of Liaoning Provincial Education Department (Grant No. LZ2015009), and the Natural Science Foundation of Liaoning Province (Grant No. 2015020626).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Zhang, X., Chen, X., Xu, C., Li, R. (2018). Vessel Scheduling Optimization in Different Types of Waterway. In: Popovich, V., Schrenk, M., Thill, JC., Claramunt, C., Wang, T. (eds) Information Fusion and Intelligent Geographic Information Systems (IF&IGIS'17). Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-59539-9_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-59539-9_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59538-2
Online ISBN: 978-3-319-59539-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)