Feedback routing via congestion pricing

Pushkin Kachroo, Kaan M.A. Özbay

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter addresses a control design for performing dynamic congestion pricing as a method to perform traffic assignment to achieve certain objective. The design uses the methodology of optimal control theory. The formulation allows for modeling tolled and non-tolled lanes or routes. A logit model connects the toll price with the driver choice behavior. A feedback optimal tolling control law is designed based on deriving the corresponding Hamilton–Jacobi–Bellman equation for the model of the system. Simulations are also presented to illustrate the working of the control design. Some of the content of this chapter has been adapted from the following paper:

Original languageEnglish (US)
Title of host publicationAdvances in Industrial Control
PublisherSpringer International Publishing
Pages249-266
Number of pages18
Edition9783319692296
DOIs
StatePublished - 2018

Publication series

NameAdvances in Industrial Control
Number9783319692296
ISSN (Print)1430-9491
ISSN (Electronic)2193-1577

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Automotive Engineering
  • Aerospace Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Kachroo, P., & Özbay, K. M. A. (2018). Feedback routing via congestion pricing. In Advances in Industrial Control (9783319692296 ed., pp. 249-266). (Advances in Industrial Control; No. 9783319692296). Springer International Publishing. https://doi.org/10.1007/978-3-319-69231-9_10