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    Kernel-Based Machine Learning Models for Predicting Daily Truck Volume at Seaport Terminals 

    Source: Journal of Transportation Engineering, Part A: Systems:;2010:;Volume ( 136 ):;issue: 012
    Author(s): Yuanchang Xie; Nathan Huynh
    Publisher: American Society of Civil Engineers
    Abstract: The heavy truck traffic generated by major seaports can have huge impacts on local and regional transportation networks. Both transportation agencies and port authorities have a need to know in advance the amount of truck ...
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    Robust Scheduling of Truck Arrivals at Marine Container Terminals 

    Source: Journal of Transportation Engineering, Part A: Systems:;2008:;Volume ( 134 ):;issue: 008
    Author(s): Nathan Huynh; C. Michael Walton
    Publisher: American Society of Civil Engineers
    Abstract: The use of a truck appointment system is gaining momentum in the marine container industry. It is used to regulate the number of trucks that can enter the terminal. Terminals employing appointment systems put a cap on the ...
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