Freeway traffic control: A survey

Siri, Silvia; Pasquale, Cecilia; Sacone, Simona; Ferrara, Antonella

doi:10.1016/j.automatica.2021.109655

Cited by 55 publications

(27 citation statements)

References 175 publications

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“…Here the left-hand side corresponds to the expression in the denominator of ( ) in (48). Therefore, the dynamics of traffic control, that involves a virtual ring, is closely related to how vehicle control influences traffic when executed on a ring road.…”

Section: Transfer Functionsmentioning

confidence: 99%

“…String stability can be analyzed by the help of the head-to-tail transfer function (48), which now reads…”

Section: Stability Of Atcmentioning

confidence: 99%

“…Via traffic state feedback, traffic control aims to maximize the benefits of large-scale traffic, which eventually leads to benefits for individual vehicles too. Research in traffic control has seen a surge in recent years [48], extending from classical traffic control [17] to reinforcement learning [31,60]. Traffic control has been approached from so-called Eulerian and Lagrangian perspectives [32].…”

Section: Introductionmentioning

confidence: 99%

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Virtual Rings on Highways: Traffic Control by Connected Automated Vehicles

Molnár¹,

Hopka²,

Upadhyay³

et al. 2022

Preprint

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This work gives introduction to traffic control by connected automated vehicles. The influence of vehicle control on vehicular traffic and traffic control strategies are discussed and compared. It is highlighted that vehicle-to-everything connectivity allows connected automated vehicles to access the state of the traffic behind them such that feedback can be utilized to mitigate evolving congestions. Numerical simulations demonstrate that such connectivity-based traffic control is beneficial for smoothness and energy efficiency of highway traffic. The dynamics and stability of traffic flow, under the proposed controllers, are analyzed in detail to construct stability charts that guide the selection of stabilizing control gains.

show abstract

Section: Transfer Functionsmentioning

confidence: 99%

“…String stability can be analyzed by the help of the head-to-tail transfer function (48), which now reads…”

Section: Stability Of Atcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Virtual Rings on Highways: Traffic Control by Connected Automated Vehicles

Molnár¹,

Hopka²,

Upadhyay³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…In these control schemes, the control actions to be implemented are defined according to traffic conditions, detected at specific locations, and actuated by means of dedicated equipment installed along the infrastructure. In the context of freeway traffic, the most popular road-based control strategies are ramp metering, mainstream control (usually via variable speed limits), or route guidance (the interested reader may refer to the survey in [2] for more details). However, the presence of CAVs in traffic opens up new scenarios in which vehicle-based, or Lagrangian control schemes, can be implemented, as done for instance in [3].…”

Section: Introductionmentioning

confidence: 99%

Platoon-actuated variable area mainstream traffic control for bottleneck decongestion

Čičić

Pasquale²,

Siri³

et al. 2022

European Journal of Control

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“…From a methodological point of view, the determination of the on‐ramp flows can be carried out through different methodologies. Several approaches can be found in the literature, ranging from the application of feedback regulators to more sophisticated control strategies involving the solution of optimization problems, the definition of heuristic algorithms, or the development of hierarchical control schemes (for a complete overview see Reference 3). All these methods have proven to be capable of counteracting the onset of congestion with different levels of effectiveness by showing advantages and disadvantages, as briefly outlined below.…”

Section: Introductionmentioning

confidence: 99%

Optimization of time‐varying feedback controller parameters for freeway networks

Pasquale

Sacone

Siri

2021

Optim Control Appl Methods

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In this work, a freeway traffic control scheme is proposed to regulate traffic in freeway networks via multi-class ramp metering. Specifically, each controlled on-ramp of the system adopts a feedback regulator of proportional-integral type and is able to compute the traffic flows entering the freeway mainstream, differentiated for each class of vehicles, e.g., cars and trucks. Since a crucial aspect of proportional-integral controllers is the tuning of parameters, in this work an optimization-based procedure is devised to determine the controller parameters to be used in the different on-ramps of the network, according to the detected traffic conditions. To this end, a set of representative traffic scenarios is defined and, for each scenario, an offline optimization procedure is applied to determine the optimal parameters. Then, in real time, a controller parameter selector identifies the scenario associated with the current system conditions and communicates to the local controllers the optimal parameters to be applied. The effectiveness of the proposed control scheme is tested in a simulative example and the main results are discussed in the paper.

show abstract

Freeway traffic control: A survey

Cited by 55 publications

References 175 publications

Virtual Rings on Highways: Traffic Control by Connected Automated Vehicles

Virtual Rings on Highways: Traffic Control by Connected Automated Vehicles

Platoon-actuated variable area mainstream traffic control for bottleneck decongestion

Optimization of time‐varying feedback controller parameters for freeway networks

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