An adaptive scaled network for public transport route optimisation

Philipp Heyken Soares (), Christine L. Mumford (), Kwabena Amponsah and Yong Mao
Additional contact information
Philipp Heyken Soares: University of Nottingham
Christine L. Mumford: Cardiff University
Kwabena Amponsah: University of Nottingham
Yong Mao: University of Nottingham

Public Transport, 2019, vol. 11, issue 2, No 7, 379-412

Abstract: Abstract We introduce an adaptive network for public transport route optimisation by scaling down the available street network to a level where optimisation methods such as genetic algorithms can be applied. Our scaling is adapted to preserve the characteristics of the street network. The methodology is applied to the urban area of Nottingham, UK, to generate a new benchmark dataset for bus route optimisation studies. All travel time and demand data as well as information of permitted start and end points of routes, are derived from openly available data. The scaled network is tested with the application of a genetic algorithm adapted for restricted route start and end points. The results are compared with the real-world bus routes.

Keywords: Public transport; Route optimisation; Network design; Benchmark instance; Genetic algorithm (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://link.springer.com/10.1007/s12469-019-00208-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:pubtra:v:11:y:2019:i:2:d:10.1007_s12469-019-00208-x

Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12469

DOI: 10.1007/s12469-019-00208-x

Access Statistics for this article

Public Transport is currently edited by Stefan Voß

More articles in Public Transport from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().