Optimization Scheduling of Elevators Based on Passenger Behavior

Behavioral operations management is a cutting-edge science with a broad development prospect. But in the field of elevator dispatching, there's little consideration of passengers' behavior habits. To satisfy the demand of passengers and achieve the maximum effectiveness of elevators, this paper takes full consideration of the factors selected by passengers and analyzes the characteristics of rush hour to study the more than one elevators scheduling problem. First, take the passengers' habits as the starting point and establish a mathematic model; second, use the two-phase approach algorithm, namely, composite dispatching rules and particle swarm optimization algorithm to optimize elevator partition scheduling schemes; then, take the numerical simulation of an actual case and use MATLAB to program the solution process intelligently. Finally, compare the results. The analysis verifies the necessity and effectiveness of considering passengers' behavior.

• Record URL:
  https://doi.org/10.1061/9780784413159.295
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413159
• Supplemental Notes:
  • © 2013 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Liang, Hongyan
  • Yang, Qin
  • Xu, Minli
  • Yuan, Lingling
• Conference:
  • Fourth International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2013-10-19 to 2013-10-20
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2033-2038
• Monograph Title: ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation

Subject/Index Terms

• TRT Terms: Algorithms; Behavior; Dispatching; Elevators; Mathematical models; Passengers; Peak hour traffic
• Identifier Terms: MATLAB (Computer program)
• Uncontrolled Terms: Particle swarm optimization
• Subject Areas: Passenger Transportation; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01522762
• Record Type: Publication
• ISBN: 9780784413159
• Files: TRIS, ASCE
• Created Date: Apr 22 2014 4:07PM