Due to diverse and increased demands, logistics needs to move towards being more context-aware. Logistic planning and execution will benefit immensely by use of (real-time) contextual data, such as data about weather, traffic, and resources. Resulting benefits include better flexibility, lower greenhouse gas emission, reduced costs, and optimum usage of transport modalities. This paper demonstrates the benefits and investigates the interoperability challenges of integrating contextual data in synchromodal transport. A data format for incoming contextual data is presented.
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