Traffic control system and method used for shipside

Abstract

This invention discloses one traffic control system and method on harbor, which comprises interface module, data read and process module, interface display module, integration information module and decision formula module. This invention comprises the following steps: dynamically describing car flow with its main situations reflected by the car position, car speed and channel and speeding behavior; establishing one distribution blur special system module to determine car real speed, channel switch or speeding according to the knowledge and blur inductance method.

Description

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AI Technical Summary

Benefits of technology

This patented technology helps manage vehicles quickly without stopping them from moving around too much while still being loaded onto an elevator car safely during manufacturing processes for cars that are shipped through this facility. By utilizing a special type called Fuzzy Expert System (FES), it can predict how fast they will move along with their position within its database. Based upon these predictions, the system makes changes to lanes or stops altogether automatically when needed. Overall, this technology improves productivity and ensures safe driving conditions for drivers who use automatic guided transport systems like fork lift trucks.

Problems solved by technology

This patented describes how autonomous vehicles can be used for cargo handling within a facility without human intervention or requiring manual labor. However, current methods are limited because they cannot accurately predict when each vehicle will arrive at its destination before entering their area where other cars may enter during peak hours. Therefore, existing systems require careful planning and coordination with drivers who manually load/unload items into specific locations around the entrance door.

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