Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

An adaptive scaled network for public transport route optimisation

Heyken Soares, Philipp, Mumford, Christine L., Amponsah, Kwabena and Mao, Yong 2019. An adaptive scaled network for public transport route optimisation. Public Transport 10.1007/s12469-019-00208-x

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (4MB) | Preview

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.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Computer Science & Informatics
Publisher: Springer Verlag (Germany)
ISSN: 1866-749X
Date of First Compliant Deposit: 10 September 2019
Last Modified: 10 Sep 2019 09:43
URI: http://orca.cf.ac.uk/id/eprint/124587

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics