Coordination of Cooperative Autonomous Vehicles: Toward safer and more efficient road transportation

Hult, Robert; Campos, Gabriel Rodrigues de; Steinmetz, Erik; Hammarstrand, Lars; Falcone, Paolo; Wymeersch, Henk

doi:10.1109/msp.2016.2602005

Cited by 119 publications

(54 citation statements)

References 25 publications

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“…Massive array beamforming will allow high-resolution spatial (directive) filtering and estimation. Finally, low latency communication and powerful computing resources in the MEC support real-time interaction between cars and infrastructure, data fusion, and controlling radar PHY-parameters in road traffic environments [6].…”

Section: G Key Enabling Technologies Relevant For Cpclmentioning

confidence: 99%

Cooperative Passive Coherent Location: A Promising 5G Service to Support Road Safety

Thomä¹,

Andrich

Galdo³

et al. 2019

IEEE Commun. Mag.

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5G promises many new vertical service areas beyond simple communication and data transfer. We propose CPCL (cooperative passive coherent location), a distributed MIMO radar service, which can be offered by mobile radio network operators as a service for public user groups. CPCL comes as an inherent part of the radio network and takes advantage of the most important key features proposed for 5G. It extends the well-known idea of passive radar (also known as passive coherent location, PCL) by introducing cooperative principles. These range from cooperative, synchronous radio signaling, and MAC up to radar data fusion on sensor and scenario levels. By using software-defined radio and network paradigms, as well as real-time mobile edge computing facilities intended for 5G, CPCL promises to become a ubiquitous radar service which may be adaptive, reconfigurable, and perhaps cognitive. As CPCL makes double use of radio resources (both in terms of frequency bands and hardware), it can be considered a green technology. Although we introduce the CPCL idea from the viewpoint of vehicle-tovehicle/infrastructure (V2X) communication, it can definitely also be applied to many other applications in industry, transport, logistics, and for safety and security applications.Index Terms-5G verticals, vehicle-to-x (V2X), cooperative driving, intelligent transport systems (ITS), joint communication and radar, passive coherent location (PCL), passive OFDM radar, distributed MIMO radar network, radar resource management, high-resolution radar parameter estimation All authors are with the Technische Universität Ilmenau (Ilmenau University of Technology). Carsten Andrich, Michael Döbereiner, and Giovanni Del Galdo are with the Fraunhofer IIS.

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Section: G Key Enabling Technologies Relevant For Cpclmentioning

confidence: 99%

Cooperative Passive Coherent Location: A Promising 5G Service to Support Road Safety

Thomä¹,

Andrich

Galdo³

et al. 2019

IEEE Commun. Mag.

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“…Cooperation among vehicles has been formulated as a constrained optimal control problem, where a performance criterion is optimized given the vehicles' trajectories, and subject to safety and liveness requirements [66]. However, on a larger scale with open systems of large numbers of vehicles, exact knowledge of requirements might be difficult to obtain in real-time.…”

Section: A Scales Of Cooperationmentioning

confidence: 99%

Cooperative Automated Vehicles: A Review of Opportunities and Challenges in Socially Intelligent Vehicles Beyond Networking

Loke

2019

IEEE Trans. Intell. Veh.

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The connected automated vehicle has been often touted as a technology that will become pervasive in society in the near future. One can view an automated vehicle as having Artificial Intelligence (AI) capabilities, being able to self-drive, sense its surroundings, recognise objects in its vicinity, and perform reasoning and decision-making. Rather than being stand alone, we examine the need for automated vehicles to cooperate and interact within their socio-cyber-physical environments, including the problems cooperation will solve, but also the issues and challenges. We review current work in cooperation for automated vehicles, based on selected examples from the literature. We conclude noting the need for the ability to behave cooperatively as a form of social-AI capability for automated vehicles, beyond sensing the immediate environment and beyond the underlying networking technology.5 At https://www.sae.org/standardsdev/dsrc/ and in particular the message set dictionary SAE J2735 at https

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“…At the intersection range or the collision region, it is assumed that no vehicle should be overtaking the other. All the vehicles with higher priority have previously passed the accident zone or the vehicles stay on the same path [21]. The concept of the virtual platoon is used that a sequence of vehicles is on the same path [22].…”

Section: Fig 2 Priority-based Frameworkmentioning

confidence: 99%

Design and Implementation of Message Communication to Control Traffic Flow in Vehicular Networks

M¹,

Joseph²,

Dharini³

et al. 2019

IJEAT

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Nowadays on the road, the number of vehicles has been increasing rapidly. The road traffic congestions are posturing severe hitches owing to the inadequate ability of road networks and irregular on-route procedures in most of the towns and ensuing in a substantial number of losses. To address these problems, advanced traffic monitoring methods are being commonly used in major towns. Nevertheless, owing to increasing traffic on roads, additional methods remain desired to avoid traffic bottlenecks. The emergent of vehicle communication technologies, and particularly vehicle to vehicle and vehicle to infrastructure would be of great support. These technologies help in improving the ride duration of the traveller and alleviating the congestion problems in road traffic. The vehicles could communicate with each other and thus the traveller can be alerted about the vehicles around him. Therefore, this paper explores the message passing mechanisms between vehicles that collaboratively determine the optimal speed of the approaching vehicles and other suitable actions to take on to crossroad junctures with least delays but eventually evading stoppings. This exploration helps in achieving a substantial improvement in terms of the reduction in the travellers’ average trip time.

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Coordination of Cooperative Autonomous Vehicles: Toward safer and more efficient road transportation

Cited by 119 publications

References 25 publications

Cooperative Passive Coherent Location: A Promising 5G Service to Support Road Safety

Cooperative Passive Coherent Location: A Promising 5G Service to Support Road Safety

Cooperative Automated Vehicles: A Review of Opportunities and Challenges in Socially Intelligent Vehicles Beyond Networking

Design and Implementation of Message Communication to Control Traffic Flow in Vehicular Networks

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