Chen, D.; Chen, Y., and Han B., 2015. Toll policy for load balancing research based on data mining in port logistics.

Studies on the scheduling and decision-making at Port Logistics have mostly been limited to the turn round of ships and/or the throughput capacity of harbors previously, and it has rarely been explored from the perspective of load balancing among logistics service activity lines. Tolling is generally considered to be a method for balancing the supply and demand of social resources. This paper explored the emergence and development of the logistics toll policy. It examined the influence of tolls on consumers' logistics choices, and even the departure time choices. The modern toll policy was mainly designed to reduce traffic congestion. We listed potential motivations for applying the toll policy to balance traffic supply and demand, and then uncovered how it worked. We discussed the approaches for evaluating the logistics toll pricing policy. By introducing a case study, Los Angeles in the State of California, we applied the proposed method to compute the value of time and the value of reliability to evaluate the toll pricing policy. We also verified the actions and reactions of the toll policy in the practical logistics network. Finally, a case of large-scale container terminal was simulated according to the different pressure test modes, and the above algorithms were computed and evaluated in light of the comprehensive analysis of task latency, traffic capacity and load balancing to judge the relative merits.