Régulateur de vitesse automatique

Comment cela fonctionne-t-il?

Le régulateur de vitesse automatique (RVA) utilise une technologie de détection de la distance qui réduit ou accélère la vitesse du véhicule afin qu’une distance constante soit maintenue entre les deux véhicules.

Les systèmes RVA sont une extension des systèmes de régulation de vitesse conventionnels (RVC) qui ajustent la vitesse du véhicule et assurent une distance spécifique avec le véhicule devant celui-ci en contrôlant automatiquement l'accélérateur et/ou le frein. Un élément clé du système RVA est le capteur de distance, comme un radar, un lidar ou une caméra, qui permet de mesurer la distance et la vitesse relative des deux véhicules successifs. En l'absence de véhicule devant celui-ci, un véhicule équipé du système RVA roule à une vitesse fixée par l'utilisateur qui contrôle l'accélérateur de façon similaire à celle du système RVC.

Commutateur de régulateur de vitesse adaptatif

Avantages

  • Augmente le confort et la sécurité du conducteur, est fonctionnel pour les longs trajets et résulte en une optimisation de la consommation de carburant et des performances du moteur.
  • Permet de régler et de manipuler plus précisément la vitesse pour laquelle des commandes au volant sont disponibles.
  • Améliore considérablement l’attention portée au reste des éléments de la route et évite les efforts visuel et physique du conducteur.
  • Par le maintien des distances de sécurité et de la régulation de la vitesse, il améliore globalement le roulement du trafic routier en générant une conduite plus fluide (c’est-à-dire que tous les véhicules roulent à la même vitesse), tout en réduisant le nombre d’accidents.
  • Cette technologie est de plus en plus standard ou optionnelle parmi les véhicules les plus vendus.

Désavantages

  • Selon l’endroit où vous conduisez, le système RVA peut générer un type de relaxation chez le conducteur qui peut facilement le distraire (c’est-à-dire qu’il se concentre moins sur la tâche de conduite).
  • La performance optimale dépend du terrain et des qualités de la route.
  • L’efficacité du freinage automatique n’est pas comparable à celle de la pédale de frein, c’est pourquoi la vigilance du conducteur est requise.
  • Si les conducteurs peuvent régler la distance inter-véhiculaire, certains peuvent la régler de manière à être trop proches du véhicule devant eux, ce qui augmente le risque de collision par l’arrière s’il faut prendre le contrôle rapidement.

Noms communs

  • Régulateur de vitesse adaptatif
  • Régulateur de vitesse adaptatif à basse vitesse
  • Adaptive cruise control with tail assist
  • Régulateur de vitesse adaptatif avec arrêt
  • Régulateur de vitesse adaptatif avec arrêt et départ
  • Régulateur de vitesse intelligent avancé
  • Régulateur de vitesse dynamique
  • Régulateur de vitesse à base de caméra
  • Distance assistance
  • Distance pilot
  • Distronic
  • Distronic actif
  • Distronic Plus
  • Régulateur de vitesse dynamique à radar
  • Régulateur de vitesse dynamique à haute vitesse et à radar
  • Régulateur de vitesse intelligent
  • OEM 1 Adaptive cruise control with Stop & Go
  • OEM 2 Radar cruise control
  • Régulateur de vitesse intelligent (arrêt/départ)
  • Régulateur de vitesse sensible au trafic

Publications les plus récentes sur PubMed

Résultats de recherche pour : adaptive cruise control

  • Analysis on congestion mechanism of CAVs around traffic accident zones
    par Qinglu Ma le 20 juin 2024 à 10:00 am

    Unexpected traffic accidents cause traffic congestion and aggravate the unsafe situation on the roadways. Reducing the impact of such congestion by introducing Connected and Autonomous Vehicles (CAVs) into the traditional traffic flow is possible. It requires estimating the incident's duration and analyzing the incident's impact area to determine the appropriate strategy. To guide the driver in making efficient and accurate judgments and avoiding secondary traffic congestion, the Cooperative...

  • Age-related differences in takeover performance: A comparative analysis of older and younger drivers in prolonged partially automated driving
    par Hengyan Pan le 11 juin 2024 à 10:00 am

    CONCLUSIONS: These findings indicate the necessity of addressing the impaired takeover performance due to cognitive decline in older drivers and discourage them from engaging in inappropriate NDRTs, thereby reducing their crash risk during automated driving.

  • Adaptive Cruise Control Based on Safe Deep Reinforcement Learning
    par Rui Zhao le 27 avril 2024 à 10:00 am

    Adaptive cruise control (ACC) enables efficient, safe, and intelligent vehicle control by autonomously adjusting speed and ensuring a safe following distance from the vehicle in front. This paper proposes a novel adaptive cruise system, namely the Safety-First Reinforcement Learning Adaptive Cruise Control (SFRL-ACC). This system aims to leverage the model-free nature and high real-time inference efficiency of Deep Reinforcement Learning (DRL) to overcome the challenges of modeling difficulties...

  • Hardware Schemes for Smarter Indoor Robotics to Prevent the Backing Crash Framework Using Field Programmable Gate Array-Based Multi-Robots
    par Mudasar Basha le 28 mars 2024 à 10:00 am

    The use of smart indoor robotics services is gradually increasing in real-time scenarios. This paper presents a versatile approach to multi-robot backing crash prevention in indoor environments, using hardware schemes to achieve greater competence. Here, sensor fusion was initially used to analyze the state of multi-robots and their orientation within a static or dynamic scenario. The proposed novel hardware scheme-based framework integrates both static and dynamic scenarios for the execution of...

  • Safety-oriented automated vehicle longitudinal control considering both stability and damping behavior
    par Yulu Dai le 4 février 2024 à 11:00 am

    Extensive research has examined the potential benefits of Automated Vehicles (AVs) for increasing traffic capacity and improving safety. However, previous studies on AV longitudinal control have focused primarily on control stability and instability or tradeoffs between safety and stability, neglecting the importance of vehicle damping characteristics. This study aims to demonstrate the significance of explicitly considering safety in addition to stability in AV longitudinal control through...

  • Coordinated Decision Control of Lane-Change and Car-Following for Intelligent Vehicle Based on Time Series Prediction and Deep Reinforcement Learning
    par Kun Zhang le 23 janvier 2024 à 11:00 am

    Adaptive cruise control and autonomous lane-change systems represent pivotal advancements in intelligent vehicle technology. To enhance the operational efficiency of intelligent vehicles in combined lane-change and car-following scenarios, we propose a coordinated decision control model based on hierarchical time series prediction and deep reinforcement learning under the influence of multiple surrounding vehicles. Firstly, we analyze the lane-change behavior and establish boundary conditions...

  • Factors Influencing Trust in Advanced Driver Assistance Systems for Current Users
    par Chelsea A DeGuzman le 12 janvier 2024 à 11:00 am

    Understanding the factors influencing trust in advanced driver assistance systems (ADAS) may help inform training and education to support appropriate use. We surveyed 369 drivers with experience using both adaptive cruise control (ACC) and lane keeping assist (LKA). The survey included questions to assess trust in ADAS, along with objective knowledge about ADAS limitations, self-reported understanding of ADAS, familiarity with technology, propensity to trust technology, and demographics....

  • Existence of connected and autonomous vehicles in mixed traffic: Impacts on safety and environment
    par Shanshan Wei le 2 janvier 2024 à 11:00 am

    CONCLUSIONS: By introducing CAVs into the road traffic system, traffic operation safety and environmental quality will be improved, with a more stable flow status, lower collision risk, and less air pollution.

  • Does in-vehicle automation help individuals with Parkinson's disease? A preliminary analysis
    par Wayne C W Giang le 30 octobre 2023 à 10:00 am

    INTRODUCTION: PD is a progressive neurodegenerative disorder that affects, according to the ICF, body systems (cognitive, visual, and motor), and functions (e.g., decreased executive functions, decreased visual acuity, impaired contrast sensitivity, decreased coordination)-all which impact driving performance, an instrumental activity of daily living in the domain of "Activity" and "Participation" according to the ICF. Although there is strong evidence of impaired driving performance in PD, few...

  • A Comprehensive Eco-Driving Strategy for CAVs with Microscopic Traffic Simulation Testing Evaluation
    par Ozgenur Kavas-Torris le 28 octobre 2023 à 10:00 am

    In this paper, a comprehensive deterministic Eco-Driving strategy for Connected and Autonomous Vehicles (CAVs) is presented. In this setup, multiple driving modes calculate speed profiles that are ideal for their own set of constraints simultaneously to save fuel as much as possible, while a High-Level (HL) controller ensures smooth and safe transitions between the driving modes for Eco-Driving. This Eco-Driving deterministic controller for an ego CAV was equipped with Vehicle-to-Infrastructure...

  • Car Bumper Effects in ADAS Sensors at Automotive Radar Frequencies
    par Isabel Expósito le 14 octobre 2023 à 10:00 am

    Radars in the W-band are being integrated into car bumpers for functionalities such as adaptive cruise control, collision avoidance, or lane-keeping. These Advanced Driving Assistance Systems (ADAS) enhance traffic security in coordination with Intelligent Transport Systems (ITS). This paper analyzes the attenuation effect that car bumpers cause on the signals passing through them. Using the free-space transmission technique inside an anechoic chamber, we measured the attenuation caused by car...

  • Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything Communication
    par Razvan-Gabriel Lazar le 9 septembre 2023 à 10:00 am

    A suitable control architecture for connected vehicle platoons may be seen as a promising solution for today's traffic problems, by improving road safety and traffic flow, reducing emissions and fuel consumption, and increasing driver comfort. This paper provides a comprehensive overview concerning the defining levels of a general control architecture for connected vehicle platoons, intending to illustrate the options available in terms of sensor technologies, in-vehicle networks, vehicular...

  • Beyond adaptive cruise control and lane centering control: drivers' mental model of and trust in emerging ADAS technologies
    par Chunxi Huang le 24 août 2023 à 10:00 am

    INTRODUCTION: The potential safety benefits of advanced driver assistance systems (ADAS) highly rely on drivers' appropriate mental models of and trust in ADAS. Current research mainly focused on drivers' mental model of adaptive cruise control (ACC) and lane centering control (LCC), but rarely investigated drivers' understanding of emerging driving automation functions beyond ACC and LCC.

  • Data generation for connected and automated vehicle tests using deep learning models
    par Ye Li le 28 juin 2023 à 10:00 am

    For the simulation-based test and evaluation of connected and automated vehicles (CAVs), the trajectory of the background vehicle has a direct effect on the performance of CAVs and experiment outcomes. The collected real trajectory data are limited by the sample size and diversity, and may exclude critical attribute combinations that are of vital importance for CAVs' tests. Consequently, it is indispensable to increase the richness of accessible trajectory data. In this study, we developed the...

  • Frequency and Quality of Exposure to Adaptive Cruise Control and Impact on Trust, Workload, and Mental Models
    par Ganesh Pai le 19 juin 2023 à 10:00 am

    Advanced Driver Assistance Systems (ADAS) support drivers with some driving tasks. However, drivers may lack appropriate knowledge about ADAS resulting in inadequate mental models. This may result in drivers misusing ADAS, or mistrusting the technologies, especially after encountering edge-case events (situations beyond the capability of an ADAS where the system may malfunction or fail) and may also adversely affect driver workload. Literature suggests mental models could be improved through...