Adaptive Cruise Control Strategies Implemented on Experimental Vehicles: A Review

He, Yinglong; Ciuffo, Biagio; Zhou, Quan; Makridis, Michail; Mattas, Konstadinos; Li, Ji; Li, Ziyang; Yan, Fuwu; Xu, Hongming

doi:10.1016/j.ifacol.2019.09.004

Cited by 54 publications

(39 citation statements)

References 35 publications

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“…Another essential dimension is the reaction time of the drivers or automated vehicles. Adaptive Cruise Control (ACC) system is already available in the market and currently, it is considered the closest proxy of full automation regarding the longitudinal movement [11]. In theory, automated functionalities have the advantage to instantly respond whenever needed, minimizing this way the reaction time, which for humans is more than 1 s [10,14].…”

Section: Introductionmentioning

confidence: 99%

The impact of driving homogeneity due to automation and cooperation of vehicles on uphill freeway sections

Makridis

Leclercq

Mattas

et al. 2020

Eur. Transp. Res. Rev.

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Background: This work presents a microsimulation study on the topic on an uphill network, regarding the potential impact of AVs and Cooperative-AVs (Coop-AVs or CAVs), vehicles able to cooperate with the infrastructure. The novelty of the proposed approach is that the simulation of all vehicles is performed with a common hybrid car-following model that takes explicitly into account the variability in the vehicle dynamics and the driving behaviors. Methods: Simulation of longitudinal movement of the individual vehicles is performed with a common hybrid carfollowing model that takes explicitly into account the variability in the vehicle dynamics and the driving behaviors. Different homogeneity levels in the vehicles and drivers are tested, while the cooperation is explicitly assessed by proposing a realistic Vehicle to Infrastructure (V2I) logic. Possible reduction in the response times of the vehicles is also studied. Results: Results with more homogenous vehicle movements have more consistent performance in terms of traffic flow, that is independent of the order that the vehicles enter the network. Finally, the cooperation with the infrastructure can limit high variations in the vehicles' accelerations and thus potential traffic jams. Conclusions: Homogenized flows can mitigate or even solve traffic-related problems related to the variability in driving behaviors, such as bottlenecks and stop-and-go waves.

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Section: Introductionmentioning

confidence: 99%

The impact of driving homogeneity due to automation and cooperation of vehicles on uphill freeway sections

Makridis

Leclercq

Mattas

et al. 2020

Eur. Transp. Res. Rev.

Self Cite

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“…The coupling graph of the system is directed, as shown in Figure 9B. We designed and implemented event-triggered control protocols for the ACC-equipped vehicles system using the reduced order system (26) and Theorem 1. The communication graph of system (26) is the same as the coupling graph; it is shown in Figure 9B.…”

Section: Example 2: Event-triggered Control Of a Platoon Of Vehiclesmentioning

confidence: 99%

“…We designed and implemented event-triggered control protocols for the ACC-equipped vehicles system using the reduced order system (26) and Theorem 1. The communication graph of system (26) is the same as the coupling graph; it is shown in Figure 9B. Each vehicle in the platoon requires the velocity and acceleration from its preceding vehicle at the event triggering time.…”

Section: Example 2: Event-triggered Control Of a Platoon Of Vehiclesmentioning

confidence: 99%

Event‐triggered leader‐follower tracking control for interconnected systems

Cheng

Ugrinovskii

2020

Intl J Robust & Nonlinear

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This article considers the event-triggered leader-follower tracking control for interconnected systems with directed communication topology. Different from the existing work, here we consider systems which are physically coupled. We propose a model-based event-triggered tracking control strategy and an event triggering rule with a time-dependent threshold which guarantees that the tracking errors in the systems asymptotically converge to zero. With the proposed event triggering rule, we prove that the system does not exhibit Zeno behavior. As a special case, the proposed event-triggered tracking control strategy is also applied to decoupled multiagent systems. The efficacy of the proposed method is discussed using two simulation examples.

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“…e most critical parts for the ACC, the planning and decision-making module, need to decide the optimal control target according to the relative motion state between the host vehicle and the target vehicle: expected longitudinal acceleration or distance [6]. So far, the decision algorithms of the ACC mainly have the following forms: PID feedback control, model predictive control, fuzzy logic control, and optimal control [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Cruise Control Strategy Design with Optimized Active Braking Control Algorithm

Zou

et al. 2020

Mathematical Problems in Engineering

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The braking quality is considered as the most important performance of the adaptive control system that influences the vehicle safety and ride comfort remarkably. This research is aimed at designing an adaptive cruise control (ACC) system based on active braking algorithm using hierarchical control. Taking into account the vehicle with safety and comfort, the upper decision-making controller is designed based on model predictive control algorithm. Throttle controller and braking controller are designed with feedforward and feedback algorithms as the bottom controller, where the braking controller is designed based on the hydraulic braking model. The whole model is simulated collaboratively with Amesim, Carsim, and Simulink. By comparison with the full deceleration model, the results show that the proposed algorithm can not only make the vehicle maintain a safe distance under the premise of following the target vehicle ahead effectively but also provide favorable driving comfort.

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Adaptive Cruise Control Strategies Implemented on Experimental Vehicles: A Review

Cited by 54 publications

References 35 publications

The impact of driving homogeneity due to automation and cooperation of vehicles on uphill freeway sections

The impact of driving homogeneity due to automation and cooperation of vehicles on uphill freeway sections

Event‐triggered leader‐follower tracking control for interconnected systems

Adaptive Cruise Control Strategy Design with Optimized Active Braking Control Algorithm

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