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The Seaport Service Rate Prediction System: Using Drayage Truck Trajectory Data to Predict Seaport Service Rates

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Publication date: Available online 1 December 2016
Source:Decision Support Systems
Author(s): Meditya Wasesa, Andries Stam, Eric van Heck
For drayage operators the service rate of seaports is crucial for organizing their container pick-up/delivery operations. This study presents a seaport service rate prediction system that could help drayage operators to improve their predictions of the duration of the pick-up/delivery operations at a seaport by using the subordinate trucks' trajectory data. The system is constructed based on three components namely, trajectory reconstruction, geo-fencing analysis, and gradient boosting modelling. Using predictive analytic techniques, the prediction system is trained and validated using >15 million data records from over 200 trucks over a period of 19months. The gradient boosting model-based solution provides better predictions compared with the linear model benchmark solution. Conclusions and implications are formulated.


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