Modelling and simulation of hierarchical scheduling of real-time responsive customised bus

A real-time responsive customised bus (RTRCB) provides demand-oriented and shared-ride service for passengers with random travel demands. Unlike other works in the literature, the authors developed a hierarchical methodology to optimise the RTRCB schedule. It involves a trade-off between the interests of the transporter and those of the passengers. After minimising the initial travel distance while maintaining a wide service range, the bus routes are planned holistically based on the main travel locations. Based on the initial routes, the buses are dispatched to satisfy the real-time travel demands. The procedure for solving the proposed problem is developed by modifying the genetic algorithm (GA) and non-dominated sorting GA with elite strategy. The proposed method is applied to a real-life problem in the city of Shenzhen, and certain extensional analyses are performed to demonstrate their feasibility. The computational results show that: (i) the travel distance limitation and tortuosity ratio of the bus route play the most important roles in planning bus routes; (ii) the designation of all the initial bus stops as the control stops results in comparatively stable service for more passengers; and (iii) a better service performance can be achieved by introducing the soft time window strategy with an acceptable delivery delay.

• Record URL:
  http://dx.doi.org/10.1049/iet-its.2020.0138
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/1751956X
• Supplemental Notes:
  • Abstract reprinted with permission of the Institution of Engineering and Technology.
• Authors:
  • Han, Shuang
  • Fu, Hui
  • Zhao, Jiahong
  • Lin, Junzhou
  • Zeng, Weiliang
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1615-1625
• Serial:
  • IET Intelligent Transport Systems
  • Volume: 14
  • Issue Number: 12
  • Publisher: Institution of Engineering and Technology (IET)
  • ISSN: 1751-956X
  • EISSN: 1751-9578
  • Serial URL: http://digital-library.theiet.org/content/journals/iet-its

Subject/Index Terms

• TRT Terms: Buses; Genetic algorithms; Minimization; Public transit; Real time information; Ridesharing; Routing; Scheduling; Simulation
• Geographic Terms: Shenzhen (China)
• Subject Areas: Highways; Public Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01760563
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 2 2020 2:14PM