Multiscale Modeling and Control Architecture for V2X Enabled Traffic Streams

Pushkin Kachroo, Shaurya Agarwal, Benedetto Piccoli, Kaan Ozbay

Research output: Contribution to journalArticlepeer-review


In this paper, we propose a multiscale modeling framework, which is appropriate for analyzing the heterogeneous traffic streams involving connected vehicles as well as normal vehicles. In this framework connected vehicles are treated as discreet entities, which can be controlled microscopically so that they can then influence and control overall traffic streams in a macroscopic sense. To establish the connection between the individual vehicle behavior (microscopic entities) and overall macroscopic traffic streams, we propose to use Mean Field Games theory. We then highlight the formulation and design of control objectives using the proposed mathematical framework. Following that, we study the effect of varying penetration levels of V2X communication enabled vehicles on the efficiency of traffic flow. We use total entropy of the system as a measure of traffic flow efficiency. We also design control of traffic network via controlling the connected vehicles microscopically. A microscopic simulation is also performed in the end to validate the proposed framework and control algorithm.

Original languageEnglish (US)
Article number7896618
Pages (from-to)4616-4626
Number of pages11
JournalIEEE Transactions on Vehicular Technology
Issue number6
StatePublished - Jun 2017


  • Connected vehicles
  • mean field games
  • multi-scale modeling
  • traffic control
  • traffic flow efficiency

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


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