Multi-Objective Optimization Model for Headway of Bus Transit in Rural Areas

The scientific determination of bus headway is very important for bus transit in rural areas. The problem of setting bus headway on a transit network under deterministic conditions with time varying demand for service and operation cost is formulated as a mathematical programming problem. This paper first proposes a bus headway problem by taking into account the operators' profit and passengers' cost. It proceeds to develop a multi-objective optimization model for the proposed problem, which aims to minimize the social cost in terms of waiting time, inconvenience due to crowding in the bus, and operation cost. The genetic algorithm is subsequently designed to solve this optimization model. Finally, a numerical example based on a real route in Wujin city of China is carried out to demonstrate the strength of this optimization model. The results show that the model and the algorithm are feasible and effective.

• Record URL:
  • https://doi.org/10.1061/9780784412442.153
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784412442
• Supplemental Notes:
  • © 2012 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Jiang, Xiaohong
  • Guo, Xiucheng
  • Yan, Yadan
  • Gong, Xiaolin
  • Zhu, Wei
• Conference:
  • Twelfth COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2012-8-3 to 2012-8-6
• Publication Date: 2012-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 1505-1514
• Monograph Title: CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient

Subject/Index Terms

• TRT Terms: Bus transit operations; Headways; Optimization; Rural transit; Schedules and scheduling
• Geographic Terms: China
• Subject Areas: Operations and Traffic Management; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01501235
• Record Type: Publication
• ISBN: 9780784412442
• Files: TRIS, ASCE
• Created Date: Dec 13 2013 9:42AM