Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 21, 2025Transportation Research Record Journal of the Transportation Research Board

Integrated Optimization of Timetable Coordination and Vehicle Scheduling Considering Variable Transfer Time Thresholds for Electric Bus Network

View Full Paper
Ask AI
Bookmark
Share

Authors

WGWanchen GaoLiaoning Technical UniversitySLShichang LuLiaoning Technical UniversityKLKai LiuTibet University

Discussion

Loading...

Member takes

Implication

This analysis demonstrates reduced travel time and costs in electric bus operations, highlighting the role of timetable coordination and variable transfer times.

Key Points

  • The optimization approach substantially reduces bus enterprise operating costs and passenger travel time, improving satisfaction.
  • Using an improved non-dominated sorting genetic algorithm II, the study achieved Pareto optimal solutions with multiple depots and vehicle types.
  • The bi-objective model targets minimizing both passenger travel time and operating costs related to depreciation and recharging.
  • Comparison with existing methods showed that the proposed approach offers significant advantages under various operational conditions.

Cite This Study

Gao et al. (2025) studied this question.

synapsesocial.com/papers/68af5218ad7bf08b1ead98f7https://doi.org/10.1177/03611981251350647
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A fast and elitist multiobjective genetic algorithm: NSGA-II2002 · 49,871 citations
  2. 2Timetable Synchronization Optimization for Metro Networks With the Consideration of Station Centrality2022 · 9 citations