Estimation of vessel link-level travel time distribution: A directed network-driven approach
Published in Ocean Engineering, 2024
Accurate vessel travel time estimation is essential for operational efficiency and route optimization. Despite the prevalent use of the automatic identification system (AIS) in garnering multifaceted real-time data, ambiguities and inaccuracies in travel time predictions persist. It leads to planning uncertainties, inefficient resource allocations, and heightened operational costs in maritime logistics. To addresses these issues, this paper proposed a nuanced method to enhance the precision and reliability of vessel travel time estimations. Firstly, a directed maritime network is constructed by extracting essential information from AIS-based historical vessel trajectories. This lays the foundation for the subsequent analytical processes. Secondly, the non-parametric kernel density estimation (KDE) is applied to this constructed network, enabling the estimation of vessel travel time distributions across various network links. The non …
Recommended citation: M Liang, J Su, R Gao, RW Liu, Y Zhan. (2025). Estimation of vessel link-level travel time distribution: A directed network-driven approach. Ocean Engineering, 313, 119371. https://www.sciencedirect.com/science/article/pii/S0029801824027094