Study of narrow waterways congestion based on automatic identification system(AIS)data:A case study of Houston Ship Channel  

作　　者：Masood Jafari Kang Sepideh Zohoori Maryam Hamidi Xing Wu 

机构地区：[1]Research Assistant,Department of Industrial Engineering,Lamar University,2607 Cherry Engineering Building,Beaumont,TX 77710,United States [2]Assistant Professor,Department of Industrial Engineering,Center for Advances in Port Management,Lamar University,2210 Cherry Engineering Building,Beaumont,TX 77710,United States [3]Associate Professor,Department of Civil and Environmental Engineering,Lamar University,2032 Cherry Engineering Building,Beaumont,TX 77710,United States

出　　处：《Journal of Ocean Engineering and Science》2022年第6期578-595,共18页海洋工程与科学（英文）

基　　金：partially supported by the Center for Advances in Port Management,Lamar University.

摘　　要：Using automatic identification system(AIS)data,this article first has extended the definition of three widely used roadway congestion indices to maritime transportation systems(MTS),traffic speed index(TSI),traffic rate index(TRI),and dwell time index(DTI).Next,a methodology is developed to measure the indices based on AIS data,considering various factors,including path geometry,time of day,and the type and size of vessels,and finally the method has been applied to the AIS data of the Houston Ship Channel(HSC)to evaluate the applicability in real cases.The results show that although average TSI and TRI cannot represent waterway congestion,the real-time values(rather than the average)at the micro level can help finding location,time,and severity of traffic congestion.Besides,while TSI and TRI have shortcomings,both average and real-time dwell time index(DTI)can quantify traffic congestion and highlight severity in different waterway segments for different types of vessels.When congestion happens at some narrow waterways,vessels need to wait at sea buoy or docks,thus dwell time index(DTI)can quantify traffic congestion better than in-transit indices such as travel speed,TSI.According to HSC DTI,most tankers experience long waiting times at the sea buoy and Galveston Bay,while cargo vessels experience delays at Bayport and Barbour’s Cut terminals.This paper helps the decision-makers quantify congestion in different sections of a waterway and provides measures to compare congestion for national competing projects at different waterways.

关 键 词：Maritime transport system Waterway congestion Quantifying congestion AIS data Houston Ship Channel 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]