Improving network traffic flow reliability through dynamic anticipatory tolls

Jing Dong*, Hani Mahmassani

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This paper proposes an anticipatory reliability pricing concept and investigates the potential effectiveness of implementing time-varying and state-dependent reliability tolls in tandem with real-time traffic estimation and prediction systems. Travel reliability, related to the flow breakdown probability, is conveyed to drivers in the form of a dynamic toll, for consideration in their route selection. In addition, to manage the traffic proactively a rolling horizon approach is used to generate dynamic tolls based on predicted traffic conditions. The experimental results show that anticipatory reliability tolls could divert travellers away from actual or likely bottlenecks that experience unstable flow, and thus contribute to reducing congestion on toll roads and increasing system utilisation.

Original languageEnglish (US)
Pages (from-to)226-236
Number of pages11
JournalTransportmetrica B
Volume1
Issue number3
DOIs
StatePublished - 2013

Funding

This research was partially supported by National Science Foundation under Award number CMMI-0928577 to Northwestern University. The views and opinions expressed are those of the authors and do not necessarily reflect the views of the sponsoring agency.

Keywords

  • Dynamic pricing
  • Flow breakdown
  • Real-time traffic estimation and prediction
  • Reliability

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Transportation

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