1. Braekers, K., Caris, A., Janssens, G.: Integrated planning of loaded and empty container movements. OR Spectrum35(2), 457–478 (2013).dx.doi.org/10.1007/s00291-012-0284-5

   Article MathSciNet MATH  Google Scholar 

2. Caris, A., Janssens, G.: A local search heuristic for the pre- and end-haulage of intermodal container terminals. Computers & Operations Research36(10), 2763–2772 (2009).dx.doi.org/10.1016/j.cor.2008.12.007

   Article MATH  Google Scholar 

3. Caris, A., Macharis, C., Janssens, G.K.: Decision support in intermodal transport: A new research agenda. Computers in Industry64(2), 105–112 (2013).dx.doi.org/10.1016/j.compind.2012.12.001. decision Support for Intermodal Transport

   Article  Google Scholar 

4. Cordeau, J.F., Laporte, G., Savelsbergh, M.W., Vigo, D.: Vehicle routing. In: Barnhart, C., Laporte, G. (eds.) Transportation, Handbooks in Operations Research and Management Science, vol. 14, chap. 6, pp. 367– 428. Elsevier (2007).dx.doi.org/10.1016/S0927-0507(06)14006-2

5. Escudero, A., Muñuzuri, J., Guadix, J., Arango, C.: Dynamic approach to solve the daily drayage problem with transit time uncertainty. Computers in Industry64(2), 165–175 (2013).dx.doi.org/10.1016/j.compind.2012.11.006. decision Support for Intermodal Transport

   Article  Google Scholar 

6. Francis, P., Zhang, G., Smilowitz, K.: Improved modeling and solution methods for the multi-resource routing problem. European Journal of Operational Research180(3), 1045–1059 (2007).dx.doi.org/10.1016/j.ejor.2006.03.054

   Article MATH  Google Scholar 

7. Heilig, L., Lalla-Ruiz, E., Voß, S.: Port-io: an integrative mobile cloud platform for real-time inter-terminal truck routing optimization. Flexible Services and Manufacturing Journal, January 2017.dx.doi.org/10.1007/s10696-017-9280-z

8. Imai, A., Nishimura, E., Current, J.: A Lagrangian relaxation-based heuristic for the vehicle routing with full container load. European Journal of Operational Research176(1), 87–105 (2007).dx.doi.org/10.1016/j.ejor.2005.06.044

   Article MathSciNet MATH  Google Scholar 

9. Konings, J.: Intermodal barge transport: network design, nodes and competitiveness. PhD thesis, TU Delft, Delft University of Technology (2009).http://repository.tudelft.nl/view/ir/uuid%3Aff6f5f10-2acc-43fb-9474-5317b0988bdd/

10. del Mar Agamez-Arias, A., Moyano-Fuentes, J.: Intermodal transport in freight distribution: a literature review. Transport Reviews, 1–26 (2017).dx.doi.org/10.1080/01441647.2017.1297868

11. Nossack, J., Pesch, E.: A truck scheduling problem arising in intermodal container transportation. European Journal of Operational Research230(3), 666–680 (2013).dx.doi.org/10.1016/j.ejor.2013.04.042

    Article MathSciNet MATH  Google Scholar 

12. Riessen, B., Negenborn, R.R., Dekker, R.: Synchromodal container transportation: an overview of current topics and research opportunities. In: Corman, F., Voß, S., Negenborn, R.R. (eds.) ICCL 2015. LNCS, vol. 9335, pp. 386–397. Springer, Cham (2015). doi:10.1007/978-3-319-24264-4_27

    Chapter  Google Scholar 

13. Smilowitz, K.: Multi-resource routing with flexible tasks: an application in drayage operations. IIE Transactions38(7), 577–590 (2006).dx.doi.org/10.1080/07408170500436898

    Article  Google Scholar 

14. Solomon, M.M.: Algorithms for the vehicle routing and scheduling problems with time window constraints. Operations Research35(2), 254–265 (1987).http://www.jstor.org/stable/170697

    Article MathSciNet MATH  Google Scholar 

15. Ulmer, M.W., Heilig, L., Voß, S.: On the value and challenge of real-time information in dynamic dispatching of service vehicles. Business & Information Systems Engineering59(3), 161–171 (2017).dx.doi.org/10.1007/s12599-017-0468-2

    Article  Google Scholar 

16. Wang, X., Regan, A.C.: Local truckload pickup and delivery with hard time window constraints. Transportation Research Part B: Methodological36(2), 97–112 (2002).dx.doi.org/10.1016/S0965-8564(00)00037–9

    Article  Google Scholar 

Download references