Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 23, 2025Journal of Advanced TransportationOpen Access

Optimization of Transit Route and Frequency for Integrated Urban–Rural Transit Network

View Full Paper
Ask AI
Bookmark
Share

Authors

YLYao LiuGWGuangmin WangNorthwestern Polytechnical UniversitySJShihui JiaWuhan University of Science and Technology

Discussion

Loading...

Member takes

Implication

Biobjective model minimizes costs in the integrated transit network, suggesting improvements for urban and rural residents.

Key Points

  • Integrated urban–rural transit network optimizes travel time and reduces transfers for passengers.
  • The model shows that integrated operations enhance system performance compared to subregional approaches.
  • Genetic algorithm effectively solves the optimization of bus routes and frequencies in transit networks.
  • Results indicate a clear trade-off between operating costs and total passenger travel time under varying demands.

Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/68d4725631b076d99fa6aefdhttps://doi.org/10.1155/atr/9728885
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Hierarchical hub location model and hybrid algorithm for integration of urban and rural public transport2018 · 31 citations
  2. 2Research on Integration of Urban and Rural Bus Line Network Planning Model2013 · 1 citations
  3. 3On the urban-rural bus transit system with passenger-freight mixed flow2022 · 53 citations
  4. 4A simple multi-objective optimization algorithm for the urban transit routing problem2009 · 61 citations