Ship wharf truck queuing length estimation method, system and equipment and medium
A technology of queuing length and queuing length, which is applied in the field of truck queuing length estimation at ship wharf, can solve the problem of not considering the queue formation and dissipation process, not providing robust and accurate estimation of truck queuing length, inaccurate estimation of truck queuing length and oversaturation situation and other issues
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Embodiment 1
[0033] Embodiment 1, this embodiment provides a method for estimating the queue length of trucks at the ship wharf;
[0034] Such as figure 1 As shown, the ship terminal truck queue length estimation method includes:
[0035] S1: According to the service window utilization rate of the ship terminal to be estimated and the M / M / S queuing model, the queuing length calculation model of the steady state of the truck queuing queue is obtained;
[0036] S2: Model the formation process of the truck queue to obtain the regression model of the formation state of the queue; model the dissipation process of the truck queue to obtain the regression model of the dissipation state of the queue;
[0037] S3: Determine whether the utilization rate of the service window at the current moment is greater than the set threshold, if yes, it means that the service window is in an oversaturated state, then use the fluid flow equation to estimate the length of the queuing queue;
[0038] If not, it ...
Embodiment 2
[0135] Embodiment 2, this embodiment also provides a system for estimating the queuing length of trucks at the ship wharf;
[0136] Ship terminal truck queue length estimation system, including:
[0137] The queuing length calculation model acquisition module is configured to: obtain the queuing length calculation model of the steady state of the truck queuing queue according to the service window utilization rate of the ship wharf to be estimated and the M / M / S queuing model;
[0138] The regression model acquisition module is configured to: model the formation process of the truck queue to obtain the regression model of the formation state of the queue; model the dissipation process of the truck queue to obtain the regression model of the dissipation state of the queue;
[0139] An estimation module, which is configured to: judge whether the utilization rate of the service window at the current moment is greater than a set threshold, if yes, it means that the service window i...
Embodiment 3
[0141] Embodiment 3. This embodiment also provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are executed by the processor, the computer instructions in Embodiment 1 are completed. described method.
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