Optimizing Combined Bus Service Pattern and Frequencies with Genetic Algorithm

Transit agencies implement a combination of skip-stop and all-stop bus services to provide an attractive and competitive transit service. In this paper, a mathematical model was proposed to optimize the combined service scheme by minimizing the total cost of passengers and operators. The stop-skipping service pattern and frequencies of the two services were optimized based on capacity and fleet size constraints. A genetic algorithm was developed to search for the optimal solution. A case study of Bus No. 3 in Chengdu during the morning peak-hour was finally applied to verify this model. A service scheme is proposed in the case study. Changes of travel time cost, bus running cost, vehicle capacity, and transit flow are all explored through a sensitivity analysis to find out their impact on stop schedule patterns. Finally, with the proposed model, this scheme could improve the level of bus service by saving travelers’ time cost and operating cost.

• Record URL:
  • https://doi.org/10.1061/9780784481523.088
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784481523
• Supplemental Notes:
  • © 2018 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhou, Ziyu
  • Ye, Zhirui
  • Xu, Yueru
• Conference:
  • 18th COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2018-7-5 to 2018-7-8
• Publication Date: 2018-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 881-892
• Monograph Title: CICTP 2018: Intelligence, Connectivity, and Mobility

Subject/Index Terms

• TRT Terms: Bus transportation; Costs; Genetic algorithms; Schedules and scheduling
• Geographic Terms: Chengdu (China)
• Subject Areas: Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01867990
• Record Type: Publication
• ISBN: 9780784481523
• Files: TRIS, ASCE
• Created Date: Dec 19 2022 5:17PM