Population-based simulation optimization for urban mass rapid transit networks

Autor(en)

David Schmaranzer, Roland Braune, Karl Franz Dörner

Abstrakt

In this paper, we present a simulation-based headway optimization for urban mass rapid transit networks. The underlying discrete event simulation model contains several stochastic elements, including time-dependent demand and turning maneuver times as well as direction-dependent vehicle travel and passenger transfer times. Passenger creation is a Poisson process that uses hourly origin-destination-matrices based on anonymous mobile phone and infrared count data. The numbers of passengers on platforms and within vehicles are subject to capacity restrictions. As a microscopic element, passenger distribution along platforms and within vehicles is considered. The bi-objective problem, involving cost reduction and service level improvement, is transformed into a single-objective optimization problem by normalization and scalarization. Population-based evolutionary algorithms and different solution encoding variants are applied. Computational experience is gained from test instances based on real-world data (i.e., the Viennese subway network). A covariance matrix adaptation evolution strategy performs best in most cases, and a newly developed encoding helps accelerate the optimization process by producing better short-term results.

Organisation(en)

Institut für Business Decisions and Analytics

Journal

Flexible Services and Manufacturing Journal

Band

32

Seiten

767–805

Anzahl der Seiten

39

ISSN

1936-6582

DOI

https://doi.org/10.1007/s10696-019-09352-9

Publikationsdatum

07-2018

Peer-reviewed

Ja

ÖFOS 2012

502052 Betriebswirtschaftslehre

Schlagwörter

ASJC Scopus Sachgebiete

Industrial and Manufacturing Engineering, Management Science and Operations Research

Link zum Portal

https://ucris.univie.ac.at/portal/de/publications/populationbased-simulation-optimization-for-urban-mass-rapid-transit-networks(5606b1e8-e071-42f7-bfd9-9260fca0138e).html