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Bus Scheduling Timetable Optimization Based on Hybrid Bus Sizes

  • Haitao Yu
  • Hongguang Ma
  • Hejia Du
  • Xiang Li
  • Randong Xiao
  • Yong DuEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 650)

Abstract

For bus carriers, it is the most basic and important problem to create the bus scheduling timetable based on bus fleet configuration and passenger flow demand. Considering different technical and economic properties, vehicle capacities and limited available number of heterogeneous buses, as well as the time-space characteristics of passenger flow demand, this paper focuses on creating the bus timetables and sizing the buses simultaneously. A bi-objective optimization model is formulated, in which the first objective is to minimum the total operation cost, and the second objective is to maximum the passenger volume. The proposed model is a nonlinear integer programming, thus a genetic algorithm with self-crossover operation is designed to solve it. Finally, a case study in which the model is applied to a real-world case of a bus line in the city of Beijing, China, is presented.

Keywords

Bus timetable Hybrid sizes Load factor Fleet configuration 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Haitao Yu
    • 1
    • 2
  • Hongguang Ma
    • 3
  • Hejia Du
    • 4
  • Xiang Li
    • 4
  • Randong Xiao
    • 2
  • Yong Du
    • 2
    Email author
  1. 1.School of Computer Science and EngineeringBeihang UniversityBeijingChina
  2. 2.Beijing Transportation Information CenterBeijingChina
  3. 3.School of Information Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
  4. 4.School of Economics and ManagementBeijing University of Chemical TechnologyBeijingChina

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