Robust timetable optimization for bus lines subject to resource and regulatory constraints

K. Gkiotsalitis*, F. Alesiani

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    7 Citations (Scopus)
    1 Downloads (Pure)

    Abstract

    Timetables are typically generated based on passenger demand and travel time expectations. This work incorporates the travel time and passenger demand uncertainty to generate robust timetables that minimize the possible loss at worst-case scenarios. We solve the resulting minimax problem with a genetic algorithm that uses sequential quadratic programming to evaluate the worst-case performance of each population member. Our approach is tested on a bus line in Singapore demonstrating an improvement potential of on service regularity and excessive trip travel times.
    Original languageEnglish
    Pages (from-to)30-51
    JournalTransportation research. Part E: Logistics and transportation review
    Volume128
    DOIs
    Publication statusPublished - 1 Aug 2019

    Fingerprint Dive into the research topics of 'Robust timetable optimization for bus lines subject to resource and regulatory constraints'. Together they form a unique fingerprint.

    Cite this