Global synchromodal transport with dynamic and stochastic shipment matching

Wenjing Guo*, Bilge Atasoy, Wouter Beelaerts van Blokland, Rudy R. Negenborn

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

8 Citations (Scopus)
61 Downloads (Pure)


This paper investigates a dynamic and stochastic shipment matching problem, in which a platform aims to provide online decisions on accepting or rejecting newly received shipment requests and decisions on shipment-to-service matches in global synchromodal transportation. The problem is considered dynamic since the platform receives requests and travel times continuously in real time. The problem is considered stochastic since the information of requests and travel times is not known with certainty. To solve the problem, we develop a rolling horizon framework to handle dynamic events, a hybrid stochastic approach to address uncertainties, and a preprocessing-based heuristic algorithm to generate timely solutions at each decision epoch. The experimental results indicate that for instances with above 50% degrees of dynamism, the hybrid stochastic approach that considers shipment request and travel time uncertainties simultaneously outperforms the approaches that do not consider any uncertainty or just consider one type of uncertainties in terms of total profits, the number of infeasible transshipments, and delay in deliveries.

Original languageEnglish
Article number102404
Number of pages25
JournalTransportation Research Part E: Logistics and Transportation Review
Publication statusPublished - 2021


  • Dynamic shipment matching
  • Global synchromodal transport
  • Hybrid stochastic approach
  • Spot request uncertainty
  • Travel time uncertainty


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