A System Optimal Speed Advisory Framework for a Network of Connected and Autonomous Vehicles

Cuong H.P. Nguyen, Nam H. Hoang, Seunghyeon Lee, Hai L. Vu

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


The technological advancements involving information and communication technologies (ICT), such as Connected and Automated Vehicles (CAVs) and the Intelligent Transport Systems (ITS), have enabled new efficient traffic control and management strategies to mitigate traffic congestion. Specifically, the combined traffic flow-speed advisory systems based on CAVs and ITS technologies could provide the individual vehicle with the optimal speed to reduce the fuel consumption, the number of stops, simultaneously reduce the network-wide traffic congestion and improve road safety. This article develops a novel bi-level control framework underpinned by the mutual interaction between a system optimal traffic flow control strategy at a network level and a speed control policy for an individual vehicle at a link level within a connected traffic environment. Our framework proposes the novel group-based method to guarantee the consistency and interaction between the macroscopic and microscopic models. To this end, it efficiently optimizes vehicular trajectories while meeting the network-wide objectives which have not been investigated previously in the literature. We propose an efficient algorithm for this problem that iteratively solves mixed-integer linear programming (MILP) models for each upper and lower level. Numerical results indicate the effectiveness of the proposed speed advisory method in vehicular emission reduction, favorable network queue formation, and its positive influence on traffic flow patterns over the network.

Original languageEnglish
Pages (from-to)5727-5739
Number of pages13
JournalIEEE Transactions on Intelligent Transportation Systems
Issue number6
StatePublished - 1 Jun 2022


  • Mixed-integer linear programming
  • bi-level control strategy
  • car following model
  • connected and autonomous vehicles
  • dynamic traffic assignment
  • lane-changing model
  • optimal speed advisory


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