Literatura académica sobre el tema "Véhicules automatisés partagés"
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Artículos de revistas sobre el tema "Véhicules automatisés partagés"
Sentouh, Chouki, Jean-Christophe Popieul, Serge Debernard y Serge Boverie. "Interactions homme-machine dans les véhicules automatisés. Le cas du partage du contrôle latéral à basse vitesse". Journal Européen des Systèmes Automatisés 48, n.º 4-6 (30 de octubre de 2014): 511–38. http://dx.doi.org/10.3166/jesa.48.511-538.
Texto completoMangeart, Timothée. "Plateformisation de la mobilité et territorialisation des plateformes : le cas du free-floating en Île-de-France". La territorialisation des plateformes numériques : retour sur une décennie de pratiques 37-3/4 (2023). http://dx.doi.org/10.4000/vyjj.
Texto completoTesis sobre el tema "Véhicules automatisés partagés"
Jaroudi, Ines. "Mobility externalities and sustainable urban development : the case of Shared Automated Vehicles". Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST031.
Texto completoCities are central hubs of activity, but their growing populations amplify concerns regarding environmental sustainability, resource management, and equitable access to mobility. To address these challenges, there needs to be a paradigm shift in urban transportation.Emerging innovations in smart mobility, specifically electric Shared Automated Vehicles (SAV), offer a promising solution to redefine urban mobility frameworks. These vehicles provide the potential to change the current transportation paradigm by offering environmentally friendly and accessible alternatives. However, their successful integration into urban settings requires a comprehensive understanding of deployment strategies and their subsequent impacts. This thesis aims to delve into the complexities surrounding the deployment of SAV, investigating their potential implications for Sustainable Urban Development in European cities.It focuses on deployment strategies and integration into transportation systems. Using scenario planning literature reviews and externalities calculations, it assesses potential strategies, emphasising integration's crucial role in positive impacts across urban contexts. The analysis highlights how Automated minibuses (AM) within a Mobility-as-a-Service (MaaS) and an Intelligent Transportation System (ITS) could support public transport and provide a solution for urban mobility challenges in cities while simultaneously fostering Sustainable Urban Development. Policy recommendations highlight infrastructure adaptation, stakeholder engagement, and promotion of intermodal transport, emphasizing SAV's integration for reducing external costs and fostering sustainable transportation practices in cities
Oudainia, Mohamed Radjeb. "Contrôle partagé adaptatif et élaboration de stratégies de conduite personnalisées pour le véhicule automatisé : une approche par apprentissage progressif". Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2023. http://www.theses.fr/2023UPHF0038.
Texto completoAutonomous driving technology is attracting increasing interest from automobile manufacturers, researchers, authorities, and the general public due to its promises in enhancing road safety, providing mobility for the elderly and individuals with reduced mobility, improving energy efficiency, and reducing emissions. However, the full deployment of these vehicles relies on their reliability in all situations, necessitating driver supervision. This raises critical questions about human-machine interaction, particularly concerning sharing control between the automated driving system and the driver, as well as conflict management.The thesis is part of the ANR-CoCoVeIA project (2019-2024), coordinated by LAMIH (Cooperation Driver-Autonomous Intelligent Vehicle). The main objective of this project is to introduce self-learning capabilities into level 2 autonomous vehicles to enhance their skills while adhering to road safety rules. The thesis focuses specifically on managing interactions between the automated system and the driver, with the goal of improving its effectiveness, enhancing driving performance, and promoting the driver's acceptance of the system.To achieve these goals, a multi-level evolutionary cooperation architecture is proposed in the first part of the thesis. This architecture aims to optimally adapt the behavior of the autonomous vehicle to a driver's preferred driving style while ensuring safe and efficient driving. The second part of the thesis delves into personalizing lane change assistance systems, using a stochastic gradient descent-based learning approach to adjust parameters based on the driver's preferences, relying on the detection of their lane change intentions.To address conflicts between the driver and the autonomous driving system, the thesis explores three robust optimal control approaches for linear time-varying parameter systems (LPV) represented in the Takagi-Sugeno (T-S) fuzzy form. The first approach focuses on adaptive shared control by real-time adjustment of a multi-objective cost function based on driver availability and risk assessment. The second approach introduces a driver's dynamic model, with parameters identified online, allowing continuous adaptation to the driver's characteristics. This model is used to develop an adaptive shared control system for lane-keeping, taking into account the neuromuscular dynamics of the driver's parameters. The final approach aims to entirely eliminate conflicts between the driver and the lane-keeping system by combining an adaptive cost function with a dynamic driver behavior model.For the design of the LPV shared controller, stability conditions for closed-loop adaptive shared control (LPV) for all three approaches are established using Lyapunov stability arguments and formulated as a linear matrix inequality (LMI) optimization problem that can be numerically solved using convex optimization algorithms. Experimental validations and user testing experiments were conducted using the SHERPA-LAMIH dynamic driving simulator to assess the acceptability of these approaches, demonstrating their effectiveness in improving safety and driving comfort and validating all of the proposed approaches
González, Bautista David. "Architecture fonctionnelle pour la planification des trajectoires des véhicules automatisés dans des environnements complexes". Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEM002/document.
Texto completoDevelopments in the Intelligent Transportation Systems (ITS) field show promising results at increasing passengers comfort and safety, while decreasing energy consumption, emissions and travel time. In road transportation, the appearance of automated vehicles is significantly aiding drivers by reducing some driving-associated tedious tasks. However, there is still a long way to go before making the transition between automated vehicles (i.e. vehicles with some automated features) and autonomous vehicles on public roads (i.e. fully autonomous driving), specially from the motion planning point of view. With this in mind, the present PhD thesis proposes the design of a generic modular architecture for automated vehicles motion planning. It implements and improves curve interpolation techniques in the motion planning literature by including comfort as the main design parameter, addressing complex environments such as turns, intersections and roundabouts. It will be able to generate suitable trajectories that consider measurements' incertitude from the perception system, vehicle’s physical limits, the road layout and traffic rules. In case future collision states are detected, the proposed approach is able to change---in real-time---the current trajectory and avoid the obstacle in front. It permits to avoid obstacles in conflict with the current trajectory of the ego-vehicle, considering comfort limits and developing a new trajectory that keeps lateral accelerations at its minimum. The proposed approach is tested in simulated and real urban environments, including turns and two-lane roundabouts with different radii. Static and dynamic obstacles are considered as to face and interact with other road actors, avoiding collisions when detected. The functional architecture is also tested in shared control and arbitration applications, focusing in keeping the driver in the control loop to addition the system's supervision over drivers’ knowledge and skills in the driving task. The control sharing advanced driver assistance system (ADAS) is proposed in two steps: 1) risk assessment of the situation in hand, based on the optimal trajectory and driving boundaries identified by the motion planning architecture and; 2) control sharing via haptic signals sent to the driver through the steering wheel. The approach demonstrates the modularity of the functional architecture as it proposes a general solution for some of today's unsolved challenges in the automated driving field
Guo, Chunshi. "Conception des principes de coopération conducteur-véhicule pour les systèmes de conduite automatisée". Thesis, Valenciennes, 2017. http://www.theses.fr/2017VALE0020/document.
Texto completoGiven rapid advancement of automated driving (AD) technologies in recent years, major car makers promise the commercialization of AD vehicles within one decade from now. However, how the automation should interact with human drivers remains an open question. The objective of this thesis is to design, develop and evaluate interaction principles for AD systems that can cooperate with a human driver. Considering the complexity of such a human-machine system, this thesis begins with proposing two general cooperation principles and a hierarchical cooperative control architecture to lay a common basis for interaction and system design in the defined use cases. Since the proposed principles address a dynamic driving environment involving manually driven vehicles, the AD vehicle needs to understand it and to share its situational awareness with the driver for efficient cooperation. This thesis first proposes a representation formalism of the driving scene in the Frenet frame to facilitate the creation of the spatial awareness of the AD system. An adaptive vehicle longitudinal trajectory prediction method is also presented. Based on maneuver detection and jerk estimation, this method yields better prediction accuracy than the method based on constant acceleration assumption. As case studies, this thesis implements two cooperation principles for two use cases respectively. In the first use case of highway merging management, this thesis proposes a cooperative longitudinal control framework featuring an ad-hoc maneuver planning function and a model predictive control (MPC) based trajectory generation for transient maneuvers. This framework can automatically handle a merging vehicle, and at the mean time it offers the driver a possibility to change the intention of the system. In another use case concerning highway lane positioning and lane changing, a shared steering control problem is formulated in MPC framework. By adapting the weight on the stage cost and implementing dynamic constraints online, the MPC ensures seamless control transfer between the system and the driver while conveying potential hazards through haptic feedback. Both of the designed systems are evaluated through user tests on driving simulator. Finally, human factors issue and user’s perception on these new interaction paradigms are discussed
Soualmi, Boussaad. "Coopération Homme Machine pour la conduite automatisée : une approche par partage haptique du contrôle". Thesis, Valenciennes, 2014. http://www.theses.fr/2014VALE0007/document.
Texto completoThe work presented in the thesis is part of the research partnership project ANRABV 2009 which aims is to design an automated low-speed driving. It describes and analyzes the principles of shared control of a motor vehicle between a human driver and an electronic copilot (E-copilot). The objective is to establish effective human-machine cooperation between the driver and E-copilot. One issue is particular to allow the driver to interact with the E-copilot continuously in order to perform maneuvers he wants without requiring deactivation neither constrained by E-copilot. This issue addresses the need for consideration of driver actions taken to remedy those of E-copilot for example avoiding undetected obstacle by the system while ensuring operator comfort and the driver situation awareness. The driver and E-co-pilot acting simultaneously on the steering system, everyone must be aware of the actions of the other: twoway communication is essential. To achieve this goal, we used the haptic interactions through the steering system of the vehicle. The torque applied by the driver on the steering wheel is used by the E-copilot to take into account these actions as the torque produced by the E-copilot is felt by the driver and used to understand the system’s behavior. Other key issues for the Human-Machine Cooperation were also discussed: the study of changes in modes of operation of the system and HMI via which the driver interact with the system