Results 41 to 50 of about 50,603 (185)
Beam switching techniques for millimeter wave vehicle to infrastructure communications [PDF]
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE), 2017 Beam alignment for millimeter wave (mm Wave) vehicular communications is challenging due to the high mobility of vehicles. Recent studies have proposed some beam switching techniques at Road Side Unit (RSU) for vehicle to infrastructure (V2I) communications, employing initial position and speed information of vehicles, that are sent through Dedicated ...
Mohammadi, Hamed, Mohammadkhani, Reza
openaire +2 more sources
Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web [PDF]
, 2012 Current “Internet of Things” concepts point to a future where connected objects gather meaningful information about their environment and share it with other objects and people.
Bizer +18 more
core +4 more sources
MmWave Vehicle-to-Infrastructure Communication: Analysis of Urban Microcellular Networks [PDF]
IEEE Transactions on Vehicular Technology, 2018 Vehicle-to-infrastructure (V2I) communication may provide high data rates to vehicles via millimeter-wave (mmWave) microcellular networks. This paper uses stochastic geometry to analyze the coverage of urban mmWave microcellular networks. Prior work used a pathloss model with a line-of-sight probability function based on randomly oriented buildings, to
Yuyang Wang +3 more
openaire +2 more sources
Enhancing smart city mobility through real time explainable AI in autonomous vehicles
Scientific ReportsThe quick advancement of Autonomous Vehicular Networks (AVNs) shows remarkable potential to transform urban transportation systems in smart cities. This transformational process faces several crucial issues, primarily due to the lack of clear decision ...
Ali Zaman Malik +7 more
doaj +1 more source
Deep Reinforcement Learning for Resource Allocation in V2V Communications
, 2017 In this article, we develop a decentralized resource allocation mechanism for vehicle-to-vehicle (V2V) communication systems based on deep reinforcement learning.
Li, Geoffrey Ye, Ye, Hao
core +1 more source
Integrating Vehicle-to-Infrastructure Communication for Safer Lane Changes in Smart Work Zones
World Electric Vehicle JournalAs transportation systems evolve, ensuring safe and efficient mobility in Intelligent Transportation Systems remains a priority. Work zones, in particular, pose significant safety challenges due to lane closures, which can lead to abrupt braking and ...
Mariam Nour, Mayar Nour, Mohamed H. Zaki
doaj +1 more source
Technical investigation on V2G, S2V, and V2I for next generation smart city planning
Journal of Electronic Science and Technology, 2019 The paper investigates a few of the major areas of the next generation technological advancement, “smart city planning concept”. The areas that the paper focuses are vehicle to grid (V2G), sun to vehicle (S2V), and vehicle to infrastructure (V2I).
MD. Shahrukh Adnan Khan +5 more
doaj +1 more source
, 2020 Connected and automated vehicles (CAVs) provide the most intriguing opportunity to reduce energy consumption and travel delays. In this paper, we propose a two-level control architecture for CAVs to optimize (1) the vehicle's speed profile, aimed at ...
Mahbub, A M Ishtiaque +1 more
core +1 more source
Review of Communication Technologies for Electric Vehicle Charging Management and Coordination
World Electric Vehicle Journal, 2021 Recently, electric vehicles (EVs) have been introduced as an alternative method of transportation to help mitigate environmental issues, such as carbon emissions and fuel consumption, caused by conventional transportation systems.
Eiman ElGhanam +3 more
doaj +1 more source
microSlotted 1-Persistence Flooding in VANETs [PDF]
, 2009 Many Driver Support Systems in future vehicles will rely on wireless communication. This wireless communication can be divided into two categories: Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I).
Eenennaam, E.M. van
core +2 more sources