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 more than 15. million data records from over 200 trucks over a period of 19. months. The gradient boosting model-based solution provides better predictions compared with the linear model benchmark solution. Conclusions and implications are formulated.

Additional Metadata
Keywords Drayage operation, Gradient boosting model, Predictive analytics, Seaport appointment system, Trajectory data, Vehicle telematics system
Persistent URL dx.doi.org/10.1016/j.dss.2016.11.008, hdl.handle.net/1765/95272
Journal Decision Support Systems
Citation
Wasesa, M, Stam, A. (Andries), & van Heck, H.W.G.M. (2015). The seaport service rate prediction system: Using drayage truck trajectory data to predict seaport service rates. Decision Support Systems. doi:10.1016/j.dss.2016.11.008