Using time-varying tolls to optimize truck arrivals at ports

Xiaoming Chen; Xuesong Zhou; George F. List

doi:10.1016/j.tre.2011.04.001

Using time-varying tolls to optimize truck arrivals at ports

Xiaoming Chen, Xuesong Zhou, George F. List

Research output: Contribution to journal › Article › peer-review

96 Scopus citations

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.

Original language	English (US)
Pages (from-to)	965-982
Number of pages	18
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	47
Issue number	6
DOIs	https://doi.org/10.1016/j.tre.2011.04.001
State	Published - Nov 2011
Externally published	Yes

Keywords

First best toll pricing
Port management
Stochastic service time distribution
Time-dependent queuing model

ASJC Scopus subject areas

Business and International Management
Civil and Structural Engineering
Transportation

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10.1016/j.tre.2011.04.001

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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.",

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AU - Zhou, Xuesong

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AB - 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.

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KW - Port management

KW - Stochastic service time distribution

KW - Time-dependent queuing model

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Using time-varying tolls to optimize truck arrivals at ports

Abstract

Keywords

ASJC Scopus subject areas

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