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2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7




ISSN 2083-6473
ISSN 2083-6481 (electronic version)




Associate Editor
Prof. Tomasz Neumann

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
Research on Capacity of Mixed Vessels Traffic Flow Based on Vessel-Following Theory
1 Shanghai Maritime University, Shanghai, China
2 Wusong Maritime Administration, Shanghai, China
ABSTRACT: In order to study the characteristics of mixed vessel traffic flow, based on classical head distance model and probability analysis, by studying the combination time head way of different vessel-following sequences, the capacity model of mixed vessels traffic flow was established. Through analyzing two representative types of vessels, research results indicate that the capacity of mixed traffic increase with the traffic flow speed in a certain speed range, but the increasing trend slow down. The closer length and inertial stopping distance of different kind vessels are, the more capacity of mixed traffic increases. And the influence of reaction time on the capacity is related to proportion of different kind vessels.
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Citation note:
Zhao C., Yan H., Zhou G., Liu T.: Research on Capacity of Mixed Vessels Traffic Flow Based on Vessel-Following Theory. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 16, No. 3, doi:10.12716/1001.16.03.16, pp. 535-539, 2022

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