@article{Nie_Liu_Xin_Yu_2017, author = {Nie, Yuanyuan and Liu, Kezhong and Xin, Xuri and Yu, Qing}, title = {A Novel Through Capacity Model for One-way Channel Based on Characteristics of the Vessel Traffic Flow}, journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation}, volume = {11}, number = {3}, pages = {495-502}, year = {2017}, url = {./Article_A_Novel_Through_Capacity_Model_Nie,43,753.html}, abstract = {Vessel traffic flow is a key parameter for channel-through capacity and is of great significance to vessel traffic management, channel and port design and navigational risk evaluation. Based on the study of parameters of characteristics of vessel traffic flow related to channel-through capacity, this paper puts forward a brand-new mathematical model for one-way channel-through capacity in which parameters of channel length, vessel arrival rate and velocity difference in different vessels are involved and a theoretical calculating mechanism for the channel-through capacity is provided. In order to verify availability and reliability of the model, extensive simulation studies have been carried out and based on the historical AIS data, an analytical case study on the Xiazhimen Channel validating the proposed model is presented. Both simulation studies and the case study show that the proposed model is valid and all relative parameters can be readjusted and optimized to further improve the channel-through capacity. Thus, all studies demonstrate that the model is valuable for channel design and vessel management.}, doi = {10.12716/1001.11.03.16}, issn = {2083-6473}, publisher = {Gdynia Maritime University, Faculty of Navigation}, keywords = {Automatic Identification System (AIS), Vessel Traffic Service (VTS), Mathematical Model, Maritime Traffic, Vessel Traffic Flow, One-Way Channel, Xiazhimen Channel} }