Using time-varying tolls to optimize truck arrivals at ports
Xiaoming Chen,
Xuesong Zhou and
George F. List
Transportation Research Part E: Logistics and Transportation Review, 2011, vol. 47, issue 6, 965-982
Abstract:
An analytical point-wise stationary approximation model is proposed to analyze time-dependent truck queuing processes with stochastic service time distributions at gates and yards of a port terminal. A convex nonlinear programming model is developed which minimizes the total truck turn time and discomfort due to shifted arrival times. A two-phase optimization approach is used to first compute a system-optimal truck arrival pattern, and then find a desirable pattern of time-varying tolls that leads to the optimal arrival pattern. Numerical experiments are conducted to test the computational efficiency and accuracy of the proposed optimization models.
Keywords: Port management; First best toll pricing; Time-dependent queuing model; Stochastic service time distribution (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1366554511000433
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:47:y:2011:i:6:p:965-982
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic
http://www.elsevier. ... 600244/bibliographic
DOI: 10.1016/j.tre.2011.04.001
Access Statistics for this article
Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley
More articles in Transportation Research Part E: Logistics and Transportation Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().