PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Research on capacity of mixed vessels traffic flow based on vessel-following theory

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Twórcy
autor
  • Shanghai Maritime University, Shanghai, China
autor
  • Shanghai Maritime University, Shanghai, China
autor
  • Wusong Maritime Administration, Shanghai, China
autor
  • Shanghai Maritime University, Shanghai, China
Bibliografia
  • 1] Wu Zhaolin, Zhu Jun. Marine traffic engineering[M]. Dalian: Dalian Maritime university press, 2004.
  • [2] Deng Xiaoyu, Li Yinzhen, Zhao Yaling. Overview of research on traffic capacity of harbor channel[J]. Port & Waterway Engineering,2011(3):10-15.
  • [3] Dong Yu, Jiang Ye, He Liangde. Calculation Method of Inland Waterway’s Throughput Capacity [J]. Port & Waterway Engineering, 2007(1):59-65.
  • [4] Shao Changfeng, Fang Xianglin. Fluid mechanics model.
  • for vessel traffic flow[J].Journal of Dalian Maritime University,2012,28(1):52-55.
  • [5] He Liangde, Jiang Ye, Yin Zhaojin. Following distance model of inland ship[J].Journal of Dalian Maritime University,2012,12(1):55-62.
  • [6] Zhu Jun, Zhang Wei. Calculation model of inland waterway transit capacity based on ship-followin theory[J].Journal of Traffic and Transportation Engineering, 2009,9(5):83-87.
  • [7] He Hong, Chen Yong. Research on High Speed Car-Following Traffic Flow Considering Dynamic Effect of Preceding Vehicle[J]. Computer Engineering and Applications,2019.55(14):209-214.
  • [8] Liu Yi. The Application research of control in car-following model[D]. Ningbo: Ningbo University,2017.
  • [9] HELBINU D. Traffic and Related Sef-driven Many particle Systems[J]. Reviews of Modern Physics, 2001,73(4):1067-1141.
  • [10] TOLEDO T. Driving Behavior: Models and Challenges [J]. Transport Reviews,2007,27(1):65-84.
  • [11] Chen Qi. Influence of safety interval between ships on throughput capacity of costal fairway. [D]. Dalian: Dalian University of technology,2011.
  • [12] Gong Fei. The study of single direction ships formation based on ship-following theory[D]. Dalian: Dalian Maritime University,2018.
  • [13] Ministry of Transport of the People's Republic of China. Design Code of General Layout for Sea Ports (JST165-2013) [S]. Beijing: China Communications Press. 2014.
  • [14] Xu Zhouhua, Mou Junmin, Ji Yongqing. A Study of 3D Model of Ship Domain for Inland Waterway[J].Journal of Wuhan University of Technology(Transportation Science & Engineering), 2004,28(3):380-383.
  • [15] Zhang Zhipeng, Xiao Xin. On braking distance of large vessels based on vessel observation[J].Port & Waterway Engineering,2011(11):6-12.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-373bdd6e-eceb-4328-8cda-3666da9b85d9
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.