Propagating Agents with Macroscopic Dynamic Network Loading: Challenges and Possible Solutions

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)
22 Downloads (Pure)

Abstract

While agent-based modelling of traffic demand is gaining attention, a macroscopic dynamic network loading model may be beneficial, particularly in large-scale applications. We investigate the implications of coupling such models, with inclusion of en-route choices, for the modelling of links and the determination of turning fractions, yielding useful recommendations to help select an appropriate solution scheme of the macroscopic traffic flow theory and overcome other practical challenges specifically associated with the coupling of agent-based traffic demand and macroscopic traffic propagation.
Original languageEnglish
Title of host publicationProcedia Computer Science1877-0509
Pages914-920
Number of pages7
Volume83
DOIs
Publication statusPublished - 13 May 2016
Event5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS) - Technical University of Madrid, Madrid, Spain
Duration: 23 May 201626 May 2016

Conference

Conference5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS)
CountrySpain
CityMadrid
Period23/05/1626/05/16

Keywords

  • agent-based modelling
  • dynamic network loading
  • macroscopic traffic model
  • en-route choice

Fingerprint Dive into the research topics of 'Propagating Agents with Macroscopic Dynamic Network Loading: Challenges and Possible Solutions'. Together they form a unique fingerprint.

Cite this