Integrated Internal Boundary Control and Ramp Metering in Lane-Free Highway Systems: A Combined Feedback Linearization and MPC Approach

The concept of Internal Boundary Control (IBC) has been recently incorporated into Lane-free automated vehicle movement with the aim of maximizing the utilization of cross-road infrastructure in both directions. Although IBC is generally successful in alleviating congestion, there are scenarios where it may not be able to fully dissolve it. Employing Ramp Metering (RM) can be an effective strategy for managing the flow of traffic from the on-ramp to the mainstream in this situation. This paper proposes an online scheme optimization approach for integrated IBC and RM in lane-free traffic. For controller design, a dynamic traffic flow model based on a first-order macroscopic model with the driver’s anticipation term is considered. The nonlinear and multivariable characteristics of this macroscopic highway model make it unlikely to be practical to create an online optimization mechanism for it, primarily due to the expected high computational expenses. So, a feedback linearization approach is employed to tackle the complexities of the macroscopic model. Following that, a linear Model Predictive Control (MPC) is designed based on the feedback linearized model to obtain an efficient and real-time solution. The suggested approach undergoes examination through a series of simulation tests to evaluate its performance. The simulation results verify the efficacy of the proposed approach in enabling real-time and efficient traffic management in future lane-free highway systems.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-06-16
DOI
https://doi.org/10.1109/tits.2025.3577459
Citations
4
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
4.86
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article

Integrated Internal Boundary Control and Ramp Metering in Lane-Free Highway Systems: A Combined Feedback Linearization and MPC Approach

Markos Papageorgiou, Antonella Ferrara, Kimia Chavoshi, Anastasios Kouvelas et al.
4 citations
IEEE Transactions on Intelligent Transportation Systems
Traffic control and management
4.86
article

Integrated Internal Boundary Control and Ramp Metering in Lane-Free Highway Systems: A Combined Feedback Linearization and MPC Approach

Markos Papageorgiou, Antonella Ferrara, Kimia Chavoshi, Anastasios Kouvelas, Milad Malekzadeh
article en
4 citations

Abstract

The concept of Internal Boundary Control (IBC) has been recently incorporated into Lane-free automated vehicle movement with the aim of maximizing the utilization of cross-road infrastructure in both directions. Although IBC is generally successful in alleviating congestion, there are scenarios where it may not be able to fully dissolve it. Employing Ramp Metering (RM) can be an effective strategy for managing the flow of traffic from the on-ramp to the mainstream in this situation. This paper proposes an online scheme optimization approach for integrated IBC and RM in lane-free traffic. For controller design, a dynamic traffic flow model based on a first-order macroscopic model with the driver’s anticipation term is considered. The nonlinear and multivariable characteristics of this macroscopic highway model make it unlikely to be practical to create an online optimization mechanism for it, primarily due to the expected high computational expenses. So, a feedback linearization approach is employed to tackle the complexities of the macroscopic model. Following that, a linear Model Predictive Control (MPC) is designed based on the feedback linearized model to obtain an efficient and real-time solution. The suggested approach undergoes examination through a series of simulation tests to evaluate its performance. The simulation results verify the efficacy of the proposed approach in enabling real-time and efficient traffic management in future lane-free highway systems.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(10)
University of Pavia (IT), Institute for Transport Sciences (HU), Technical University of Crete (GR), Technical University of Munich (DE)
Sustainable cities and communities
Openalex Percentile: Top 5%
Traffic control and management
4.86
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