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A Simulation-Based Dynamic Programming Method for Interchange Scheduling of Port Collecting and Distributing Network

Gorde:
Argitaratua izan da:Journal of Advanced Transportation vol. 2018 (2018)
Egile nagusia: Peng, Yun
Beste egile batzuk: Wang, Wenyuan, Xu, Xinglu, Modi, Chen, Song, Xiangqun, Li, Xiangda
Argitaratua:
John Wiley & Sons, Inc.
Gaiak:
Research
Delay time
Mathematical analysis
Mathematical models
Optimization
Roads & highways
Trucks
Distributing
Transportation planning
Traffic congestion
Computer simulation
Vehicles
Freight transportation
Simulation
Dynamic programming
Multistage
Scheduling
Cost analysis
Traffic volume
Earthquakes
Seismic engineering
Bridges
Travel patterns
Preventive maintenance
Infrastructure
Ports
Construction costs
Traffic
Economic
Sarrera elektronikoa:Citation/Abstract
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Laburpena:As one of the effective methods to reduce congestion, grade intersection has already been changed to interchange in port collecting and distributing network (PCDN) of many Chinese ports, since the first interchange was built in the PCDN of Dalian port in 1924. Due to the growing demand for port freight transportation, congestion in PCDN is becoming one of the inevitable problems that need to be solved. This paper addresses the best interchange scheduling multistage decision problem in PCDN at a network level. The main challenges are how to estimate the delay time and cope with high uncertainties in port network and PCDN. Therefore, a simulation-based dynamic programming (DP) model is proposed with the purpose of minimizing total cost in lifetime period by combining a DP model and two nested simulation models together. Two simulation models are built to figure out the delay cost in the optimization model, which cannot be calculated by mathematical analysis due to complex vehicle travel patterns and irregular traffic volume caused by random events, such as the arrival pattern of ships’, natural conditions, and storage period of cargos. Finally, a real project in northern China is presented as a case study. The proposed method can be applied in similar cases and can help solve analogous complicated multistage problems.
ISSN:0197-6729
2042-3195
0018-1501
DOI:10.1155/2018/4805250
Baliabidea:ABI/INFORM Global