An Overview of Traffic Control Schemes for Freeway Systems

Ferrara, Antonella; Sacone, Simona; Siri, Silvia

doi:10.1007/978-3-319-75961-6_8

Cited by 15 publications

(5 citation statements)

References 96 publications

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“…The recent advances in computational power and enabling technologies have fostered the development of control methodologies having as main objective that of mitigating traffic congestion. In this context, classical methods were mainly ramp metering, route guidance or variable speed limits (see [4]- [6]). These methods were based on the regulation of the vehicle flow entering the mainstream from on-ramps via traffic lights, on the suitable routing of vehicles and on the variation of speed limits via variable message signs (see [7] for a recent detailed overview).…”

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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“…It also provides cleaner and sustainable transportation by reducing traffic emissions. In recent years, various traffic control strategies addressing sustainable issues have been studied [10,13,14].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review on Traffic Control Modeling for Obtaining Sustainable Objectives in a Freeway Traffic Environment

Sheikh

Peng

2022

Journal of Advanced Transportation

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Traffic control strategy plays a significant role in obtaining sustainable objectives because it not only improves traffic mobility but also enhances traffic management systems. It has been developed and applied by the research community in recent years and still offers various challenges and issues that may require the attention of researchers and engineers. Recent technological developments toward connected and automated vehicles are beneficial for improving traffic safety and achieving sustainable goals. There is a need to develop a survey on traffic control techniques, which could provide the recent developments in the traffic control strategy and could be useful in obtaining sustainable goals. This survey presents a comprehensive investigation of traffic control techniques by carefully reviewing existing methods from a new perspective and reviews various traffic control strategies that play an important role in achieving sustainable objectives. First, we present traffic control modeling techniques that provide a robust solution to obtain reasonable traffic and sustainable mobilities. These techniques could be helpful for enhancing the traffic flow in a freeway traffic environment. Then, we discuss traffic control strategies that could be helpful for researchers and practitioners to design a robust freeway traffic controller. Second, we present a comprehensive review of recent state-of-the-art methods on the vehicle design control strategy, which is followed by the traffic control design strategy. They aim to reduce traffic emissions and energy consumption by a vehicle. Finally, we present the open research challenges and outline some recommendations which could be beneficial for obtaining sustainable goals in traffic systems and help researchers understand various technical aspects in the deployment of traffic control systems.

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“…[5], also considering their relationship with travel times and duration of rush hours. In the literature many control approaches have been proposed ranging from Variable Speed Limits (VSL) to Ramp-Metering in freeway scenarios [6], [7], to eco-driving approaches locally applied to the vehicles (see e.g., [8], [9] among many others).…”

Section: Introductionmentioning

confidence: 99%

Event-Triggered Eco-Driving With Sliding Mode Control for an Electric Vehicle in Urban Traffic Networks

Incremona

Ferrara

2022

2022 European Control Conference (ECC)

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This paper deals with an eco-driving control problem for autonomous electric vehicles in urban traffic networks with signalized intersections. Specifically, a novel control scheme is proposed to make the vehicle travel through a sequence of signalized intersections while always catching green lights with minimum energy consumption. The proposal includes a speed reference generator, a sliding mode local controller and an event-triggered decision maker whose intelligence is provided by a pre-specified condition. This mechanism enables to determine when it is necessary to re-plan a new optimal velocity profile by the speed planner, which solves a sub-optimal version of the non-convex eco-driving optimal control problem due to the traffic lights constraints. The sliding mode controller instead enables a finite time tracking of the optimized speed reference and plays the role of compensator of the uncertainties affecting the vehicle dynamics. Such a robustness property in turn allows to limit the triggering events when a new optimization is solved to update the speed reference profile. The performance of the whole control scheme are finally assessed in simulation.

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An Overview of Traffic Control Schemes for Freeway Systems

Cited by 15 publications

References 96 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

A Comprehensive Review on Traffic Control Modeling for Obtaining Sustainable Objectives in a Freeway Traffic Environment

Event-Triggered Eco-Driving With Sliding Mode Control for an Electric Vehicle in Urban Traffic Networks

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