Results 11 to 20 of about 9,403 (241)
Econometric Insights into LNG Carrier Port Congestion and Energy Inflation: A Data-Driven Approach
CommoditiesWe examine how LNG carrier port congestion in European ports, measured via detailed vessel-level AIS data, affects euro area energy inflation. As energy inflation significantly affects headline inflation, this study provides an additional factor that can
Stavros Karamperidis +2 more
doaj +3 more sources
Port congestion and container freight rate dynamics: forecasting with an RBF neural network [PDF]
Frontiers in Marine ScienceWith its safe and efficient characteristics, container transportation has become vital for advancing the global economy. However, port congestion has become a significant obstacle to the container freight price system’s stability.
Miao Su, Sung-Hoon Bae, Keun-sik Park
doaj +2 more sources
Liner Schedule Design under Port Congestion: A Container Handling Efficiency Selection Mechanism
Journal of Marine Science and EngineeringPort congestion significantly impacts the reliability of container ship schedules. However, the existing research often treats vessel time in port as a random variable, failing to systematically consider the complex impact of port congestion on ship ...
Haibin Qu +3 more
doaj +2 more sources
Data-Driven Carbon Emission Dynamics Under Ship In-Port Congestion
Journal of Marine Science and EngineeringBerthing operation heterogeneity across ship types causes significant uncertainty in assessing port congestion and carbon emissions over comparable timeframes.
Weiyu Liu, Bowei Xu, Junjun Li
doaj +2 more sources
Using Machine Learning to Predict Port Congestion : A study of the port of Paranaguá [PDF]
, 2023 Being able to accurately predict future levels of port congestion is of great value to both port and ship operators. However, such a prediction tool is currently not available. In this thesis, a Long Short-Term Memory Recurrent Neural Network is built to fulfill this need.
Fadnes, Eirik, Harviken, Espen Åsheim
openaire +2 more sources
Journal of Marine Science and Engineering, 2022 The present study proposes a new method that forecasts congestion in the area near a port by combining the automatic identification systems of ships and port management information data.
Joonbae Son +4 more
doaj +1 more source
Constructing Route Choice Mobile Application Using the Real-Time Traffic Information [PDF]
Port Said Engineering Research Journal, 2022 Traffic congestion is one of the most serious concerns in the transportation networks. It is a multidimensional problem with many challenges which makes it difficult to solve in the short term because it needs a predictable route choice behavior and ...
Ahmed Abd-elazeem +2 more
doaj +1 more source
Multimethod simulation approach for capacity design of a truck parking area in city ports
Acta Scientiarum: Technology, 2022 The port induced freight can cause traffic congestion problems in city ports if road freight transportation is used. The secondary congestion problem arises from the pooling of the trucks at the port gates because of the delays of the port operations ...
Mehmet Sinan Yıldırım +2 more
doaj +1 more source
Stochastic Model to Estimate the Waiting Time for Container Vessel Turnaround Times [PDF]
TransNav, 2022 By developing possible solutions for Saudi ports to limit the increase in damage to the marine ecosystem, the random system for estimating the waiting time of ships in Saudi ports has been developed as a model to guide the application of the multiple ...
Akram Elentably +4 more
doaj +1 more source
An ant colony genetic fusion routing algorithm based on soft define network
IET Networks, EarlyView., 2022 Abstract Aiming at the problem that there are many paths in data forwarding in soft define network (SDN) network, and the optimal path is difficult to find, combined with the advantages of ant colony algorithm and Genetic algorithm (GA), a routing control strategy based on the ant colony genetic fusion algorithm is proposed.
Kaixin Zhao, Yong Wei, Yang Zhang
wiley +1 more source