Cooperative sensing for improved traffic efficiency: The highway field trial

Ferreira, Joaquim; Alam, Muhammad; Fernandes, Bruno; Moutinho, Luis; Almeida, João; Moura, L.F. de; Costa, Rui; Iovino, Giovanni; Cordiviola, E

doi:10.1016/j.comnet.2018.07.006

Cited by 12 publications

(5 citation statements)

References 11 publications

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“…Table 1 summarizes the investigations of recent studies focused on broader development aspects of CAV systems [3], [4], [7], [15]- [20]. Key features of the surveyed CAV systems and the aspects related to their implementation technologies are highlighted.…”

Section: B Computational Aspects Of Autonomous Vehiclesmentioning

confidence: 99%

“…CAVs aid the effort to eliminate car crashes, alleviate traffic congestion, maximize vehicle awareness, lower fuel consumption and gas emissions, and provide a safer and more comfortable experience. Great strides have been made over the last decades in the fields of wireless technology and vehicular communication to achieve the goal of autonomous and connected driving [2]- [4].…”

Section: Introductionmentioning

confidence: 99%

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Future Trends in Connected and Autonomous Vehicles: Enabling Communications and Processing Technologies

2022

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With significant advancements in information and communication technologies, connected and autonomous vehicles (CAVs) can provide improved transportation services. At present, a variety of technologies, such as vehicular networks, communication interfaces, and modern hardware devices enable CAVs to support reliable, safe, and quality transportation system options with improved performance and increased effectiveness. In this paper, we carefully explore a set of distinguished state-of-theart CAV systems with a focus on On-board Computational Unit (OBCU) hardware architectures, communication technologies, deployment challenges, and performance aspects. The exploration critically identifies important area transformations and anticipates future trends influencing CAV communications and processing requirements. To that end, we propose the design of a future generic OBCU architecture that can be customized with appealing features and used in CAVs.

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Section: B Computational Aspects Of Autonomous Vehiclesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Future Trends in Connected and Autonomous Vehicles: Enabling Communications and Processing Technologies

2022

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“…The second project is named PASMO [ 49 , 50 , 51 ]; the main objective is the design, field implementation, and provision of a platform for intelligent mobility, which is open to participative experimentation of companies that can collaborate to test (technology) and validate (market) equipment, protocols, processes, applications, standards, and services. One scenario explored by this project is the development of Intelligent Transportation Systems (ITS) where the traffic conditions and the weather are monitored continuously.…”

Section: Iot Scenariosmentioning

confidence: 99%

Building an IoT Platform Based on Service Containerisation

Antunes

Santiago

Manso

et al. 2021

Sensors

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IoT platforms have become quite complex from a technical viewpoint, becoming the cornerstone for information sharing, storing, and indexing given the unprecedented scale of smart services being available by massive deployments of a large set of data-enabled devices. These platforms rely on structured formats that exploit standard technologies to deal with the gathered data, thus creating the need for carefully designed customised systems that can handle thousands of heterogeneous data sensors/actuators, multiple processing frameworks, and storage solutions. We present the SCoT2.0 platform, a generic-purpose IoT Platform that can acquire, process, and visualise data using methods adequate for both real-time processing and long-term Machine Learning (ML)-based analysis. Our goal is to develop a large-scale system that can be applied to multiple real-world scenarios and is potentially deployable on private clouds for multiple verticals. Our approach relies on extensive service containerisation, and we present the different design choices, technical challenges, and solutions found while building our own IoT platform. We validate this platform supporting two very distinct IoT projects (750 physical devices), and we analyse scaling issues within the platform components.

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“…This method shares the image feature computation task for faster computation of real‐time monitoring which is useful for smart city applications. Few task‐sharing‐based traffic management systems have been proposed in the literature [8]. These are useful for the development of safe, secure and sustainable urban transport system.…”

Section: Introductionmentioning

confidence: 99%

Crowd intelligence for sustainable futuristic intelligent transportation system: a review

Shit

2020

IET Intelligent Transport Systems

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Cooperative sensing for improved traffic efficiency: The highway field trial

Cited by 12 publications

References 11 publications

Future Trends in Connected and Autonomous Vehicles: Enabling Communications and Processing Technologies

Future Trends in Connected and Autonomous Vehicles: Enabling Communications and Processing Technologies

Building an IoT Platform Based on Service Containerisation

Crowd intelligence for sustainable futuristic intelligent transportation system: a review

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