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Mostrando 1 - 20 Resultados de 96 Para Buscar '"Platoon"', tiempo de consulta: 0.21s Limitar resultados
  1. 1
    “…Cooperative intelligent transportation systems (C-ITSs) such as platooning rely on a robust and timely network that may not always be available in sufficient quality. …”
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  2. 2
    por Cheng, Wei, Chen, Ye-xiao
    Publicado 2023
    “…Based on Robertson’s platoon dispersion model, this paper fully considers the characteristics of mixed traffic conditions, and models the platoon dispersion in the mixed traffic environment. …”
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  3. 3
    “…One particular concern is a Sybil attack, by which the admission of fake virtual vehicles into the platoon allows malicious actors to wreak havoc on the platoon itself. …”
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  4. 4
    “…Control of vehicle platoon can effectively reduce the traffic accidents caused by fatigue driving and misoperation, reduce air resistance by eliminating the inter-vehicle gap which will effectively reduce fuel consumption and exhaust emissions. …”
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  5. 5
    por Ng, Kok Mun, Reaz, Mamun Bin Ibne
    Publicado 2015
    “…This enables systematic discretized description of platoon movement from an upstream signalized intersection towards a downstream signalized intersection. …”
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  6. 6
    “…Platooning is a cooperative driving application where autonomous/semi-autonomous vehicles move on the same lane in a train-like manner, keeping a small constant inter-vehicle distance, in order to reduce fuel consumption and gas emissions and to achieve safe and efficient transport. …”
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  7. 7
    por Lee, Jong-Ho, Song, Jiho
    Publicado 2020
    “…The safety and consistency of platoon-based driving are guaranteed via reliable communication between vehicles in a platoon. …”
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  8. 8
    “…In Europe, many projects for vehicle platooning are being actively developed, but mostly focus on truck platooning on the highway with a simpler topology than that of the urban road. …”
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  9. 9
    “…As a result of vehicle platooning, advantages including decreased traffic congestion and improved fuel economy are expected. …”
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  10. 10
    “…Finally, this paper presents the range of defence and countermeasures to vehicle platooning attacks and how they protect the safe operations of vehicular platoons.…”
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  12. 12
    “…In this paper, we study the offloading decision of collaborative task execution between platoon and Mobile Edge Computing (MEC) server. The mobile application is represented by a series of fine-grained tasks that form a linear topology, each of which is either executed on a local vehicle, offloaded to other members of the platoon, or offloaded to a MEC server. …”
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  13. 13
    “…This paper focuses on the consensus problem of a vehicle platoon system with time-varying topology via self-triggered control. …”
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  14. 14
    “…This paper addresses formation control design for a group of unmanned surface vehicles platoon considering input delay. To account for connectivity-preserving and collision-avoiding, Barrier Lyapunov function is incorporated into the constraints design of line-of-sight range and bearing. …”
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  15. 15
    “…To date, there have been few detailed studies of self-driving algorithms for CAV platoons in urban areas. In this paper, we therefore propose a self-driving architecture combining the sensing, planning, and control for CAV platoons in an end-to-end fashion. …”
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  16. 16
    “…However, a higher level of cooperation among multiple vehicle platoons is needed to improve, effectively, the traffic flow. …”
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  17. 17
    “…This work aims at developing and testing a novel Coalitional Distributed Model Predictive Control (C-DMPC) strategy suitable for vehicle platooning applications. The stability of the algorithm is ensured via the terminal constraint region formulation, with robust positively invariant sets. …”
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  18. 18
    “…Automated truck platooning (ATP) has gained growing attention due to its advantage in reducing fuel consumption and carbon emissions. …”
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  19. 19
    por Irshayyid, Ali, Chen, Jun
    Publicado 2023
    “…Specifically, a model-free deep reinforcement learning approach is used to find the optimal driving behavior in the scenario in which two platoons are merging into one. Several metrics are analyzed, including the time of the merge, energy consumption, and jerk, etc. …”
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  20. 20
    “…In terms of energy consumption metrics, the policy gradient algorithm is used first in the IVC field for training the proposed platoon problem. It is a feasible training decision-planning algorithm for solving the minimization of energy consumption caused by decision making in platoon avoidance behavior.…”
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