Nonlinear model predictive control of large-scale urban road networks via average speed control

SIRMATEL I. İ., Yildirimoglu M.

Transportation Research Part C: Emerging Technologies, cilt.156, 2023 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 156
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.trc.2023.104338
  • Dergi Adı: Transportation Research Part C: Emerging Technologies
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Environment Index, Geobase, INSPEC, Metadex, Civil Engineering Abstracts
  • Anahtar Kelimeler: Average speed control, Large-scale urban road networks, Macroscopic fundamental diagram, Model predictive control, Traffic perimeter control
  • Trakya Üniversitesi Adresli: Evet

Özet

Controlling traffic in large-scale urban road networks is a challenging problem. Aggregated dynamical models, based on the macroscopic fundamental diagram (MFD) of urban traffic, enable model-based control design. As an alternative to perimeter control actuation commonly used in MFD-based control, in this paper, we propose actuation over regional space-mean speeds, which we name average speed control. The method involves manipulation of regional speeds via instrumentation similar to variable speed limits in freeways, or using vehicle-to-infrastructure communication. We develop nonlinear model predictive control schemes considering actuation over average speed and perimeter control. Their performances are compared using simulations on congested scenarios, the results of which suggest potential of the method as an alternative or complementary actuation to perimeter control.