The seaport service rate prediction system: Using drayage truck trajectory data to predict seaport service rates
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.
|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|
|Series||ERIM Top-Core Articles|
|Journal||Decision Support Systems|
Wasesa, M, Stam, A. (Andries), & van Heck, H.W.G.M. (2016). 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