Autonomic Systems Design for ITS Applications: Modelling and Route Guidance

Kotsialos, Apostolos; Poole, Adam

doi:10.1007/978-3-319-25808-9_8

Cited by 3 publications

(2 citation statements)

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“…But considering the application of only one of these methods, RM is by far the simplest and most accomplished method among them. [1][2][3][4][5] A simple and generative definition of RM is given in the past paragraph for which, to constrain the inflow of the on-ramps a traffic light must be installed at the on-ramps. Different phases of the traffic light are what constitutes these constraints and a control law must be constructed such that the traffic lights create the desired traffic conditions.…”

Section: Introductionmentioning

confidence: 99%

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Feedback‐based cooperative ramp metering for highway traffic flow control: A model predictive sliding mode control approach

Aval

Eghbal

2020

Intl J Robust & Nonlinear

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In this article, the authors proposed a model predictive based sliding mode control (MPSMC) based ramp metering (RM) strategy for highway traffic control. The strategy includes sliding mode control (SMC) which makes it immune to uncertainties and provides fast responses while the addition of model predictive Control (MPC) will provide optimality. Therefore, the RM strategy will simultaneously present real-time applicability, robustness, and optimality. To provide optimality, a new quadratic objective function homogeneous to total time spent (TTS) is proposed, and for both the SMC and MPSMC based RM the authors will prove the closed-loop asymptotic global stability of the strategy in the presence of disturbance and uncertainties with the help of the proposed cost function. This objective function is based on minimizing traffic dynamic deviations from desired values. The proposed RM control strategy was applied to M62 smart highway in England and results are compared with existing control measures in the highway, ALINEA and SMC-based RM. The simulations show that MPSMC will approach optimal behavior and thus, outperforms ALINEA and SMC regarding queue length and average speed. Moreover, the SMC and MPSMC based RMs are innately robust against disturbances, therefore, both will provide better performance regarding congestion reduction compared with ALINEA. Finally, it will be shown that MPSMC can improve TTS performance by 39% with respect to ALINEA while presenting global asymptotic stability.

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Section: Introductionmentioning

confidence: 99%

“…Each of these tools can be applied to design a traffic flow control strategy. But considering the application of only one of these methods, RM is by far the simplest and most accomplished method among them 1‐5 …”

Section: Introductionmentioning

confidence: 99%