Coordinated Ramp Metering Via Second Order Sliding Mode Control

Mammar, S; Netto, Mariana

doi:10.1109/itsc.2006.1706752

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…Another aspect to mention is that, while many works consider the traffic demand as known, this can determine the generation of erroneous theoretical conclusions since, in real world freeway traffic systems, the traffic demand is not available a priori, and only an estimate can be used in the prediction models upon which optimal control methods rely. Therefore, SMC is a good candidate methodology to enhance the robustness not only of the platooning control layer, but also of the overall traffic control scheme, as seen is [40]- [44].…”

Section: A Brief Overview Of Traffic Controlmentioning

confidence: 99%

Multi-Scale Model-Based Hierarchical Control of Freeway Traffic via Platoons of Connected and Automated Vehicles

Ferrara

Incremona

Birliba

et al. 2022

IEEE Open J. Intell. Transp. Syst.

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In this paper a novel hierarchical multi-level control scheme is proposed for freeway traffic systems. Relying on a coupled PDE-ODE nominal model, capturing the interaction between the macroscopic traffic flow and a platoon of connected and automated electric vehicles (CAVs) which acts as a moving bottleneck, a high-level model predictive controller (MPC) is adopted to reduce traffic congestion and vehicle fuel consumption. This controller generates, only when necessary, i.e., according to an eventtriggered control logic, the most appropriate reference values for the platoon length and velocity. The platoon is in turn controlled, in an energy efficient way, by a distributed medium-level MPC, so as to track the reference speed values for its downstream and upstream end-points provided by the high-level MPC. The mismatch between the dynamics of the CAVs forming the platoon and their nominal dynamics is tackled via the design of local low-level robust integral sliding mode controllers, which have the capability of compensating for the mismatch. In the paper, the controlled platoon of CAVs is assumed to be immersed into a realistic traffic system with traffic demand not known in advance, which differs from the nominal prediction model used by the high-level MPC.INDEX TERMS Electric vehicles, event-triggered control, optimal control, platoon control, sliding mode control, traffic control.

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Section: A Brief Overview Of Traffic Controlmentioning

confidence: 99%

Multi-Scale Model-Based Hierarchical Control of Freeway Traffic via Platoons of Connected and Automated Vehicles

Ferrara

Incremona

Birliba

et al. 2022

IEEE Open J. Intell. Transp. Syst.

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“…From the macroscopic point of view, the main variables of interest are the traffic density in vehicules/km/lane and the average speed in kmlh [16]. These important traffic data are usually obtained via a set of sensors, for example, such as inductive loop detector, camera video.…”

Section: B State Reconstructormentioning

confidence: 99%

State reconstructor for real-time freeway ramp metering

Majid

Abouaïssa

Jolly

et al. 2013

2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC)

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The work presented in this paper aims to solve the problem of isolated ramp metering in the case of unavailable (not measured) traffic state variables (density and mean speed). A state reconstructor is then proposed and a systematic approach is developed for real time freeway ramp metering. The state reconstructor is developed using a second order sliding mode observer, while the control algorithm is based on the concept of differential flatness. Numerical simulations demonstrate the relevance of the provided algorithm for both state reconstructor and control of freeway networks.

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“…In the literature, there are few examples in which SMC has been applied to the context of traffic control with ramp-metering. In [13], for instance, a firstorder traffic model is adopted for a stretch of highway with several on-ramps and a so-called drift algorithm is applied for the sliding mode control. In this case, a coordinated Multi-Input Multi-Output (MIMO) sliding mode controller is applied, using both a first-order and a second-order algorithm.…”

Section: Introductionmentioning

confidence: 99%

Freeway Traffic Control via Second-Order Sliding Modes Generation

Piacentini

Incremona

Ferrara

2020

2020 European Control Conference (ECC)

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The paper deals with the design of a Suboptimal Second-Order Sliding Mode (SSOSM) control algorithm for local ramp metering of freeway systems. Indeed, sliding mode control is well-known for its robustness in front of uncertain terms and it perfectly fits to solve the control problem in case of traffic systems. Moreover, the proposed control law is able to steer the so-called sliding variable, chosen as the error between the density of the cell in the vicinity of the ramp and its reference value, to zero in a finite time. The traffic flow is modeled by means of the macroscopic second-order METANET model and the approach is finally assessed in simulation with satisfactory results.

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Coordinated Ramp Metering Via Second Order Sliding Mode Control

Cited by 7 publications

References 10 publications

Multi-Scale Model-Based Hierarchical Control of Freeway Traffic via Platoons of Connected and Automated Vehicles

Multi-Scale Model-Based Hierarchical Control of Freeway Traffic via Platoons of Connected and Automated Vehicles

State reconstructor for real-time freeway ramp metering

Freeway Traffic Control via Second-Order Sliding Modes Generation

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