Data-Driven Transit Network Design at Scale

DOI10.1287/opre.2020.2057zbMath1482.90035OpenAlexW3129493444WikidataQ120689940 ScholiaQ120689940MaRDI QIDQ5031609

Julia Yan, Yeesian Ng, Dimitris J. Bertsimas

Publication date: 16 February 2022

Published in: Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/opre.2020.2057

zbMATH Keywords

optimizationtransportation

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Deterministic network models in operations research (90B10)

Related Items

Line planning for different demand periods

Uses Software

• Gurobi
• Julia

Cites Work

• Urban rapid transit network design: accelerated Benders decomposition
• Evaluation and optimization of urban public transportation networks
• Optimal lines for railway systems
• A coverage model for improving public transit system accessibility and expanding access
• A mixed integer formulation for multiple-route transit network design
• A review of urban transportation network design problems
• Branch-and-Price: Column Generation for Solving Huge Integer Programs
• Line Planning with Minimal Traveling Time
• A Direct Connection Approach to Integrated Line Planning and Passenger Routing
• Computing in Operations Research Using Julia