Zone-based public transport route optimisation in an urban network
Document Type
Journal Article
Publication Date
2021
Subject Area
place - urban, planning - network design, planning - methods
Keywords
Public transport, Route optimisation, Network design, Benchmark instance, Genetic algorithm
Abstract
The majority of academic studies on the optimisation of public transport routes consider passenger trips to be fixed between pairs of stop points. This can lead to barriers in the use of the developed algorithms in real-world planning processes, as these usually utilise a zone-based trip representation. This study demonstrates the adaptation of a node-based optimisation procedure to work with zone-to-zone trips. A core element of this process is a hybrid approach to calculate zone-to-zone journey times through the use of node-based concepts. The resulting algorithm is applied to an input dataset generated from real-world data, with results showing significant improvements over the existing route network. The dataset is made publicly available to serve as a potential benchmark dataset for future research.
Rights
Permission to publish the abstract has been given by SpringerLink, copyright remains with them.
Recommended Citation
Heyken Soares, P. (2021). Zone-based public transport route optimisation in an urban network. Public Transport, Vol. 13, pp. 197–231.
