Network-wide adaptive tolling for connected and automated vehicles

Guni Sharon, Michael W. Levin, Josiah P. Hanna, Tarun Rambha, Stephen D. Boyles, Peter Stone

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

This article proposes Δ-tolling, a simple adaptive pricing scheme which only requires travel time observations and two tuning parameters. These tolls are applied throughout a road network, and can be updated as frequently as travel time observations are made. Notably, Δ-tolling does not require any details of the traffic flow or travel demand models other than travel time observations, rendering it easy to apply in real-time. The flexibility of this tolling scheme is demonstrated in three specific traffic modeling contexts with varying traffic flow and user behavior assumptions: a day-to-day pricing model using static network equilibrium with link delay functions; a within-day adaptive pricing model using the cell transmission model and dynamic routing of vehicles; and a microsimulation of reservation-based intersection control for connected and autonomous vehicles with myopic routing. In all cases, Δ-tolling produces significant benefits over the no-toll case, measured in terms of average travel time and social welfare, while only requiring two parameters to be tuned. Some optimality results are also given for the special case of the static network equilibrium model with BPR-style delay functions.

Original languageEnglish (US)
Pages (from-to)142-157
Number of pages16
JournalTransportation Research Part C: Emerging Technologies
Volume84
DOIs
StatePublished - Nov 2017

Keywords

  • Adaptive tolling
  • Connected vehicles
  • Flow optimization
  • Micro-tolling
  • Network flow

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