A framework for hybrid simulation of transportation networks

Gabriel Gomes

Journal of Simulation, 2022, vol. 16, issue 2, 166-181

Abstract: This paper introduces a new approach to hybrid traffic modelling, along with its implementation in software. The software allows modellers to assign traffic models to individual links in a network. Each model is a plugin that implements a series of methods, referred to as the modelling interface. These methods are used by the program to exchange information between adjacent models. Traffic controllers are implemented in a similar manner. The paper outlines the important components of the method: the network description, the description of demands, and the modelling and control interfaces. We include tests demonstrating the propagation of congestion between pairs of macroscopic, mesoscopic, and microscopic models. Open Traffic Models is an open-source implementation of these concepts, and is available at https://github.com/ggomes/otm-sim.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/17477778.2020.1766387 (text/html)
Access to full text is restricted to subscribers.

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:taf:tjsmxx:v:16:y:2022:i:2:p:166-181

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20

DOI: 10.1080/17477778.2020.1766387

Access Statistics for this article

Journal of Simulation is currently edited by Christine Currie

More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().