Container throughput estimation leveraging ship GPS traces and open data - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Container throughput estimation leveraging ship GPS traces and open data

Résumé

Traditionally, the port container throughput, a crucial measurement of regional economic development, was manually collected by port authorities. This requires a large amount of human effort and often delays publication of this important figure. In this paper, by leveraging ubiquitous positioning techniques and open data, we propose a two-phase approach to estimation of port container throughput in real-time. First, we obtain the number of container ships arriving at berth by analyzing the ships' GPS traces. Then we estimate the throughput of each ship, in terms of number of containers transshipped, by considering the ship's berthing time, capacity, length, breadth, and crane operation performance, as extracted from different data sources. Evaluation results using real-world datasets from Hong Kong and Singapore show that the proposed approach not only estimates the container throughput quite accurately, but also outperforms the baseline method significantly
Fichier non déposé

Dates et versions

hal-01262361 , version 1 (26-01-2016)

Identifiants

Citer

Longbiao Chen, Daqing Zhang, Gang Pan, Leye Wang, Xiaojuan Ma, et al.. Container throughput estimation leveraging ship GPS traces and open data. UbiComp 2014 : ACM International Joint Conference on Pervasive and Ubiquitous Computing, Sep 2014, Seattle, États-Unis. pp.847 - 851, ⟨10.1145/2632048.2632050⟩. ⟨hal-01262361⟩
52 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More