Combining linear programming and automated planning to solve intermodal transportation problems

Javier García*, José E. Florez, Álvaro Torralba, Daniel Borrajo, Carlos Linares López, Ángel García-Olaya, Juan Sáenz

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

25 Citations (Scopus)


When dealing with transportation problems Operational Research (OR), and related areas as Artificial Intelligence (AI), have focused mostly on uni-modal transport problems. Due to the current existence of bigger international logistics companies, transportation problems are becoming increasingly more complex. One of the complexities arises from the use of intermodal transportation. Intermodal transportation reflects the combination of at least two modes of transport in a single transport chain, without a change of container for the goods. In this paper, a new hybrid approach is described which addresses complex intermodal transport problems. It combines OR techniques with AI search methods in order to obtain good quality solutions, by exploiting the benefits of both kinds of techniques. The solution has been applied to a real world problem from one of the largest spanish companies using intermodal transportation, Acciona Transmediterránea Cargo.

Original languageEnglish
JournalEuropean Journal of Operational Research
Issue number1
Pages (from-to)216-226
Number of pages11
Publication statusPublished - 16 May 2013
Externally publishedYes


  • Heuristic planning
  • Intermodal transport
  • Linear programming
  • Logistics


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