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 ra...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.展开更多
The main challenge for container ports is the planning required for berthing container ships while docked in port.Growth of containerization is creating problems for ports and container terminals as they reach their c...The main challenge for container ports is the planning required for berthing container ships while docked in port.Growth of containerization is creating problems for ports and container terminals as they reach their capacity limits of various resources which increasingly leads to traffic and port congestion.Good planning and management of container terminal operations reduces waiting time for liner ships.Reducing the waiting time improves the terminal’s productivity and decreases the port difficulties.Two important keys to reducing waiting time with berth allocation are determining suitable access channel depths and increasing the number of berths which in this paper are studied and analyzed as practical solutions.Simulation based analysis is the only way to understand how various resources interact with each other and how they are affected in the berthing time of ships.We used the Enterprise Dynamics software to produce simulation models due to the complexity and nature of the problems.We further present case study for berth allocation simulation of the biggest container terminal in Iran and the optimum access channel depth and the number of berths are obtained from simulation results.The results show a significant reduction in the waiting time for container ships and can be useful for major functions in operations and development of container ship terminals.展开更多
舟山市鱼山绿色石化基地是我国七大石化基地的重要组成部分,也是打造全国首个绿色发展标杆的石化基地,液化天然气(LNG)码头建设对基地发展十分重要。通过挖掘水域优势,将LNG船舶移动安全区设定为前1 n mile、后0.5 n mile、左右各1倍船...舟山市鱼山绿色石化基地是我国七大石化基地的重要组成部分,也是打造全国首个绿色发展标杆的石化基地,液化天然气(LNG)码头建设对基地发展十分重要。通过挖掘水域优势,将LNG船舶移动安全区设定为前1 n mile、后0.5 n mile、左右各1倍船长(约300 m),给对向船舶预留了约360 m宽的通道,解决了LNG船舶航行过程中对向封控的问题。通过使用代入法,分区段定量分析LNG船舶进出港过程中需要协调避让的船舶数量,形成LNG码头建设后的交通场景。通过对沪舟通道岱山北航道桥、LNG船舶和周围水域的三维建模,采用操纵试验手段,得出LNG专用航道转向点与跨海大桥的安全间距不宜小于6倍船长。展开更多
基金partially supported by the Center for Advances in Port Management,Lamar University.
文摘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.
文摘The main challenge for container ports is the planning required for berthing container ships while docked in port.Growth of containerization is creating problems for ports and container terminals as they reach their capacity limits of various resources which increasingly leads to traffic and port congestion.Good planning and management of container terminal operations reduces waiting time for liner ships.Reducing the waiting time improves the terminal’s productivity and decreases the port difficulties.Two important keys to reducing waiting time with berth allocation are determining suitable access channel depths and increasing the number of berths which in this paper are studied and analyzed as practical solutions.Simulation based analysis is the only way to understand how various resources interact with each other and how they are affected in the berthing time of ships.We used the Enterprise Dynamics software to produce simulation models due to the complexity and nature of the problems.We further present case study for berth allocation simulation of the biggest container terminal in Iran and the optimum access channel depth and the number of berths are obtained from simulation results.The results show a significant reduction in the waiting time for container ships and can be useful for major functions in operations and development of container ship terminals.
文摘舟山市鱼山绿色石化基地是我国七大石化基地的重要组成部分,也是打造全国首个绿色发展标杆的石化基地,液化天然气(LNG)码头建设对基地发展十分重要。通过挖掘水域优势,将LNG船舶移动安全区设定为前1 n mile、后0.5 n mile、左右各1倍船长(约300 m),给对向船舶预留了约360 m宽的通道,解决了LNG船舶航行过程中对向封控的问题。通过使用代入法,分区段定量分析LNG船舶进出港过程中需要协调避让的船舶数量,形成LNG码头建设后的交通场景。通过对沪舟通道岱山北航道桥、LNG船舶和周围水域的三维建模,采用操纵试验手段,得出LNG专用航道转向点与跨海大桥的安全间距不宜小于6倍船长。
