A jam-absorption driving system for reducing multiple moving jams by estimating moving jam propagation

Li, Siyu; Yanagisawa, Daichi; Nishinari, Katsuhiro

doi:10.1016/j.trc.2023.104394

Cited by 3 publications

(2 citation statements)

References 59 publications

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“…where b n,1 is obtained from (18), and b m,0 ∈ R 2 is a vector for the JAD strategy. The output matrix C ∈ R 2×2N is…”

Section: Traffic State Dynamicsmentioning

confidence: 99%

“…In connected and autonomous environments, some researchers have proposed a theoretical jam-absorption driving (JAD) strategy to eliminate traffic jams [16] and have derived the theoretical conditions for restricting secondary jams [17]. Additionally, a real-time control system for operating JAD against multiple moving jams was presented on freeway sections [18]. Similarly, some studies have proposed the JAD based on different car-following models to reduce traffic waves and improve traffic performance [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed Traffic

Li,

Roncoli,

2024

Applied Sciences

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Traffic waves in traffic flow significantly impact road throughput and fuel consumption and may even lead to severe safety issues. Currently, in connected and autonomous environments, the jam-absorption driving (JAD) strategy shows good performance in dissipating traffic waves. However, the previous JAD strategy has mostly focused on wave dissipation without adequately assessing traffic efficiency and safety. To address this gap, an optimal control problem for JAD in mixed traffic is proposed to reduce traffic waves. The prediction model is developed using the car-following model within a model predictive control (MPC) framework. The Helly model is selected for the manual vehicle. This is because the Helly model is a linear model that describes the car-following phenomenon accurately without delay effect. In addition, the objective function of the prediction model considers both traffic safety and efficiency while satisfying mechanical and safety constraints. Simulation results indicate that the proposed methodology can effectively reduce traffic jams and improve traffic performance on a one-lane freeway. The optimal method is more applicable to complex traffic wave scenarios, providing a new perspective for reducing traffic jams on the freeway.

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“…where b n,1 is obtained from (18), and b m,0 ∈ R 2 is a vector for the JAD strategy. The output matrix C ∈ R 2×2N is…”

Section: Traffic State Dynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed Traffic

Li,

Roncoli,

2024

Applied Sciences

View full text Add to dashboard Cite

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A CAV-Lead speed advice approach considering local spatiotemporal traffic state near bottlenecks

Cao,

Qu,

Chen

et al. 2024

Accident Analysis & Prevention

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A time-varying driving style oriented model predictive control for smoothing mixed traffic flow

Lou,

Lyu,

Cheng

2024

Physica A: Statistical Mechanics and its Applications

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A jam-absorption driving system for reducing multiple moving jams by estimating moving jam propagation

Cited by 3 publications

References 59 publications

A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed Traffic

A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed Traffic

A CAV-Lead speed advice approach considering local spatiotemporal traffic state near bottlenecks

A time-varying driving style oriented model predictive control for smoothing mixed traffic flow

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