A hybrid model predictive control for traffic flow stabilization and pollution reduction of freeways

Alfréd Csikós, István Varga, Katalin M. Hangos

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In this work a control system is developed and analyzed for the suppression of moving jamwaves and the reduction of pollutant concentrations near motorways. The system is based on the second-order macroscopic freeway traffic model METANET, joined by an emission dispersion model, introduced in a previous work of the authors. For the control tasks dedicated controllers are designed, both using the nonlinear model predictive control method. The control objectives require a distinction in the utilized control measures, thus different controllers are designed and used in predefined control modes. The first mode of the controller is responsible for keeping pollutant concentrations below prescribed limits under stable conditions. The second mode of the controller is working in case of a shockwave threat, aiming for traffic stabilization. Between the control modes switching is based on an appropriate rule set that satisfies the stability of the controlled system. The hybrid controller structure is realized by a finite automata. A complex case study is presented for the evaluation of the suggested controller.

Original languageEnglish
Pages (from-to)174-191
Number of pages18
JournalTransportation Research Part D: Transport and Environment
Volume59
DOIs
Publication statusPublished - Mar 2018

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ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation
  • Environmental Science(all)

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