The Container Transportation Problem: Model and Solution Methods

This paper studies the traffic control of automated guided vehicles (AGVs) moving in seaport terminals. These unmanned vehicles are used in terminal operations for transferring containers between ships and storage locations on the shore. The moving of vehicles can be described as the set of discrete events and states. Some of these states can be undesirable such as conflicts and deadlocks. It is necessary to apply adequate control policy to avoid deadlocks and block the vehicles’ moving only in the case of a dangerous situation. This paper focuses on the design of an AGV transport system with no conflicts and deadlocks. Vehicles have to be stopped only in the case of a dangerous situation. The final goals of this design are normally related to the optimization of processing time or minimization of the number of AGVs involved while maintaining the system throughput. The container transport system is modeled as a MRF1 class of Petri nets with disjoint sets of resource and job places. The authors use a method for calculating control places which control conflicts and restrict level deadlocks. The model is tested using computer simulation.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: pp 41-49
  • Monograph Title: Proceedings of First International Conference on Traffic and Transport Engineering (ICTTE)

Subject/Index Terms

Filing Info

  • Accession Number: 01594758
  • Record Type: Publication
  • ISBN: 9788691615307
  • Files: TRIS
  • Created Date: Mar 26 2016 8:25PM