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Title:

Analytical Model to Estimate Lock Capacity of a Waterway Lock
Cover of Analytical Model to Estimate Lock Capacity of a Waterway Lock

Accession Number:

01472529

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

With the rapidly increasing traffic demand, many locks, which had been promoted to develop inland waterborne transport in past decades, have become major bottlenecks in the waterway system. China has promoted those locks by adding a third (even fourth) chamber in parallel to existing ones, aiming to expand the lock capacity as well as to reduce the delay. For those locks’ performance, although much attention has been paid to delays with simulation models, an analytical model is also necessary to estimate the lock capacity reasonably if there is no history data to work with a simulation approach. In this paper, an improved analytical model is developed for a waterway lock based on the relationship between the area and tonnage (RAT) of inland freight vessels and the percent of available chamber (PAC). According to the observed data on the Yangtze River and Grand Canal, China, the RAT of freight vessels was analyzed using linear regression and quadratic polynomial regression, and the PAC ranges from 0.5 to 0.7. The validation shows the analytical model is reasonable. The model can estimate the lock capacity continuously with the parameters instead of the lockage arranging discretely at different level of traffic. It is useful to analyze the effect of the vessels’ large and uniform trend on the lock capacity efficiently and reasonably.

Supplemental Notes:

This paper was sponsored by TRB committee AW020 Inland Water Transportation.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-0840

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Liao, Peng

Pagination:

14p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Identifier Terms:

Geographic Terms:

Subject Areas:

Marine Transportation; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-0840

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:17PM