The weather hazard warning in sim&lt;sup&gt;TD&lt;/sup&gt;: A design for road weather related warnings in a large scale Car-to-X field operational test

Jaeger, Attila; Huss, Sorin A.

doi:10.1109/itst.2011.6060085

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Currently, more and more CADAS are developed (e.g., cooperative adaptive cruise control [17], hazard warning [18], automatic emergency call [19], intersection assistance [20]) that are based on the communication between the vehicle and other vehicles (C2C) or vehicle and infrastructure (C2I; overall called C2X).…”

Section: A Adas and C2x Technology In Road Trafficmentioning

confidence: 99%

Studying Effects of Advanced Driver Assistance Systems (ADAS) on Individual and Group Level Using Multi-Driver Simulation

Maag¹,

Mühlbacher²,

Mark³

et al. 2012

IEEE Intell. Transport. Syst. Mag.

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ADAS have the potential to optimize safety and efficiency in road traffic. In order to reach this objective, human-centered design principles have to be considered. Therefore, the effects of such devices on driver behavior and emotion are often analyzed quantitatively by using driving simulator studies that measure effects on individual level. But traditional driving simulation reaches its limits, if the effects of cooperative ADAS on the interactions of several road users (group level) should be analyzed. The paper describes the approach of a multi-driver simulation for the analysis of two cooperative ADAS that assist the driver: merging assistant and hazard warning. Results of experimental studies are presented and show positive as well as negative effects of both systems on driving behavior and interactions as well as drivers' emotional response.

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Section: A Adas and C2x Technology In Road Trafficmentioning

confidence: 99%

Studying Effects of Advanced Driver Assistance Systems (ADAS) on Individual and Group Level Using Multi-Driver Simulation

Maag¹,

Mühlbacher²,

Mark³

et al. 2012

IEEE Intell. Transport. Syst. Mag.

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“…While many scenarios are seemingly uncritical, like smart home, other domains are obviously highly critical. The automotive industry and associated industries, strive to increase safety through connection and collaboration, e.g., cars sharing information about potential hazards [53]. There are current developments to standardize vehicle communications, such as the cellular network based C-V2X [3] and the wifi extension standard 802.11p [48], which Volkswagen announced to support in all 2020 Golf 8 [87].…”

Section: Introductionmentioning

confidence: 99%

SADAN: Scalable Adversary Detection in Autonomous Networks

Abera,

Brasser,

Gunn

et al. 2019

Preprint

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Autonomous collaborative networks of devices are emerging in numerous domains, such as self-driving cars, smart factories and critical infrastructure, generally referred to as IoT. Their autonomy and self-organization makes them especially vulnerable to attacks. Thus, such networks need a dependable mechanism to detect and identify attackers and enable appropriate reactions. However, current mechanisms to identify adversaries either require a trusted central entity or scale poorly.In this paper, we present SADAN, the first scheme to efficiently identify malicious devices within large networks of collaborating entities. SADAN is designed to function in truly autonomous environments, i.e., without a central trusted entity. Our scheme combines random elections with strong but potentially expensive integrity validation schemes providing a highly scalable solution supporting very large networks with tens of thousands of devices. SADAN is designed as a flexible scheme with interchangeable components, making it adaptable to a wide range of scenarios and use cases. We implemented an instance of SADAN for an automotive use case and simulated it on large-scale networks. Our results show that SADAN scales very efficiently for large networks, and thus enables novel use cases in such environments. Further, we provide an extensive evaluation of key parameters allowing to adapt SADAN to many scenarios.

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“…To demonstrate the usage of the introduced rectangular arithmetic by means of an application example, we utilize the Weather Hazard Warning application as presented in (Stübing and Jaeger, 2010) and more detailed in (Jaeger and Huss, 2011), since this C2X application uses rectangular areas to determine the location of the weather situation in DENMs and within function internals.…”

Section: Introductionmentioning

confidence: 99%

Novel Techniques to Handle Rectangular Areas in Car-to-X Communication Applications

Jaeger

Huss

2013

Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics

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Car-to-X communication is one of the main technologies to enable a various set of ITS use-cases. Thereby, among others, messages about local dangers are exchanged. According to message specification, the relevance area of such dangers may be encoded as a rectangle. In this work we present several techniques to handle such rectangular areas. These techniques are already included and, hence, extensively tested in the Weather Hazard Warning applications in current vehicle communication field operations tests in Germany and Europe.

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The weather hazard warning in sim<sup>TD</sup>: A design for road weather related warnings in a large scale Car-to-X field operational test

Cited by 3 publications

References 5 publications

Studying Effects of Advanced Driver Assistance Systems (ADAS) on Individual and Group Level Using Multi-Driver Simulation

Studying Effects of Advanced Driver Assistance Systems (ADAS) on Individual and Group Level Using Multi-Driver Simulation

SADAN: Scalable Adversary Detection in Autonomous Networks

Novel Techniques to Handle Rectangular Areas in Car-to-X Communication Applications

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