کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1023664 | 941639 | 2011 | 18 صفحه PDF | دانلود رایگان |
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.
► A fluid-based approximation method is adapted to model time-dependent queues.
► Improved computational efficiency compared to Monte Carlo simulation methods.
► We construct a system-optimal truck arrival flow assignment model.
► Time-of-day tolls are used to optimize truck arrival pattern at seaports.
Journal: Transportation Research Part E: Logistics and Transportation Review - Volume 47, Issue 6, November 2011, Pages 965–982