Combined Control of Freeway Traffic Involving Cooperative Adaptive Cruise Controlled and Human Driven Vehicles Using Feedback Control Through SUMO

Mehmet Ali Silgu, Ismet Goksad Erdagi, Gokhan Goksu, Hilmi Berk Celikoglu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

Abstract

In this study, we propose and test through micro-simulation a novel controller for the combined control of freeway traffic by adopting coordinated Ramp Metering (RM) and Variable Speed Limiting (VSL) strategies. In order to figure out the performance of the $H_\infty $ State Feedback Controller we have designed, field observations on a real freeway segment with four on-ramps and an off-ramp in the city of Istanbul are used to calibrate the Intelligent Driver Model at SUMO (Simulation of Urban MObility). Scenarios with varying penetration rates of vehicles with Cooperative Adaptive Cruise Control (CACC) in mixed traffic are simulated through SUMO specific to the cases of no control, only coordinated RM control, and the combined coordinated RM + VSL control. Performance of the controller we have proposed has been analyzed considering a number of measures on traffic flow dynamics and emissions exhausted. We define three critical levels for penetration rates of vehicles with CACC in freeway traffic.

Original languageEnglish
Pages (from-to)11011-11025
Number of pages15
JournalIEEE Transactions on Intelligent Transportation Systems
Volume23
Issue number8
DOIs
Publication statusPublished - 1 Aug 2022

Bibliographical note

Publisher Copyright:
© 2000-2011 IEEE.

Keywords

  • autonomous vehicles
  • connected vehicles
  • Control theory
  • cruise control
  • road traffic control
  • robust control
  • simulation
  • state feedback

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