Comparative analysis of operation strategies in schedule design for a fixed bus route

DOI10.1111/ITOR.12114zbMath1317.90138OpenAlexW2112567046MaRDI QIDQ5257895

Xinggang Luo, Jiafu Tang, Yinghui Wu

Publication date: 24 June 2015

Published in: International Transactions in Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/itor.12114

zbMATH Keywords

Monte Carlo methodtransit schedule designdrivers' schedule recoveryholding control strategy

Mathematics Subject Classification ID

Stochastic programming (90C15) Stochastic scheduling theory in operations research (90B36)

Cites Work

• Monte Carlo bounding techniques for determinig solution quality in stochastic programs
• Determination of the number and locations of time points in transit schedule design. -- Case of a single run
• Applying path-counting methods for measuring the robustness of the network-structured system
• A genetic algorithm and the Monte Carlo method for stochastic job-shop scheduling
• Integrating probabilistic design and rare‐event simulation into the requirements engineering process for high‐reliability systems

This page was built for publication: Comparative analysis of operation strategies in schedule design for a fixed bus route