Optimization Scheduling of Subway Ticket Vending Machines Based on Passenger Behavior

While subways are being accepted and selected by more and more people, they are also facing an urgent need for improvement in service quality and competitiveness. The ticket vending machine (TVM) is an important tool for communicating with passengers and plays an important and highlighted role. Based on behavioral characteristics of different passengers, effectively regulating the number of TVMs and types of passenger queues has practical significance. Firstly, use a triple α / β / γ to describe the problem. An optimization scheduling problem regards minimizing manufacturing as the goal, with machine usage restrictions and the "first in-first out" principle. Then, establish a mathematical model. Secondly, using plant growth simulation algorithm design an algorithm. Finally, the case study demonstrates the algorithm's feasibility and efficiency.

• Record URL:
  • https://doi.org/10.1061/9780784413753.044
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413753
• Supplemental Notes:
  • © 2014 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wang, Tingting
  • Yang, Qin
  • Yu, Lixia
  • Li, Jinqi
  • Huang, Lin
• Conference:
  • 2014 International Conference of Logistics Engineering and Management (ICLEM)
  • Location: Shanghai , China
  • Date: 2014-10-9 to 2014-10-11
• Publication Date: 2014-9

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 292-298
• Monograph Title: ICLEM 2014: System Planning, Supply Chain Management, and Safety

Subject/Index Terms

• TRT Terms: Algorithms; Behavior; Case studies; Mathematical models; Optimization; Passengers; Quality of service; Queuing; Subways; Ticket vending machines; Utilization
• Subject Areas: Passenger Transportation; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01540906
• Record Type: Publication
• ISBN: 9780784413753
• Files: TRIS, ASCE
• Created Date: Oct 15 2014 12:01PM