In response to the strategic deployment of developing urban underground logistics systems in the “Outline for Building a Strong Transportation Nation” and the requirements of the “dual carbon” goals, this paper designs an intelligent logistics transmission control system for urban rail transit stations to alleviate the congestion and carbon emissions caused by the reliance on roadways for urban express delivery transportation. The system is based on a core architecture of “concourse - platform - carriage” collaboration, achieving precise positioning of logistics transport vehicles through WiFi positioning technology, constructing an environmental model using grid maps, and completing path planning with the A* algorithm. Additionally, a hardware system for logistics transport vehicles has been developed. Experimental verification shows that the system can achieve automatic loading and unloading of shelves, dynamic path optimization, and safe scheduling. The shelf transportation rate per train trip reaches 60%, and the direct delivery rate of high-priority shelves is 75%. This meets the efficiency and safety requirements of logistics operations at metro platforms and provides technical support for the integration of passenger and freight transportation in rail transit.

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Research on Intelligent Logistics Transmission Control System for Urban Rail Transit Stations

  • Yufei Hou,
  • Hongyu Wu,
  • Wenbin Cao,
  • Qin Luo

摘要

In response to the strategic deployment of developing urban underground logistics systems in the “Outline for Building a Strong Transportation Nation” and the requirements of the “dual carbon” goals, this paper designs an intelligent logistics transmission control system for urban rail transit stations to alleviate the congestion and carbon emissions caused by the reliance on roadways for urban express delivery transportation. The system is based on a core architecture of “concourse - platform - carriage” collaboration, achieving precise positioning of logistics transport vehicles through WiFi positioning technology, constructing an environmental model using grid maps, and completing path planning with the A* algorithm. Additionally, a hardware system for logistics transport vehicles has been developed. Experimental verification shows that the system can achieve automatic loading and unloading of shelves, dynamic path optimization, and safe scheduling. The shelf transportation rate per train trip reaches 60%, and the direct delivery rate of high-priority shelves is 75%. This meets the efficiency and safety requirements of logistics operations at metro platforms and provides technical support for the integration of passenger and freight transportation in rail transit.