VANETs as a Part of Weather Warning Systems

Bernaś, Marcin

doi:10.1007/978-3-642-31217-5_48

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…buses and trains can be used for monitoring forest environment by installing special sensors that gather information which are transmitted to cloud or environmental agency system using 5G and IEEE 802.11p network. The information gathered from forest and it environment might be used to forecast wild fire out-break due to bush burning and even tendency of high rainfall which could lead to erosion and flooding [68,69]. The reason for using vehicle for data gathering is due to the fact that vehicles does not have energy challenges, since the vehicles have high capacity rechargeable batteries.…”

Section: Application Area For Vehicular Video Streaming In Iot Enviromentioning

confidence: 99%

Towards video streaming in IoT Environments: Vehicular communication perspective

Aliyu

Abdullah

Kaiwartya

et al. 2018

Computer Communications

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Multimedia oriented Internet of Things (IoT) enables pervasive and real-time communication of video, audio and image data among devices in immediate surroundings. Today's vehicles have the capability of supporting real time multimedia acquisition. Vehicles with high illuminating infrared cameras and customized sensors can communicate with other on-road devices using dedicated short-range communication (DSRC) and 5G enabled communication technologies. Real time incidence of both urban and highway vehicular traffic environment can be captured and transmitted using vehicle-tovehicle and vehicle-to-infrastructure communication modes. Video streaming in vehicular IoT (VSV-IoT) environments is in growing stage with several challenges that need to be addressed ranging from limited resources in IoT devices, intermittent connection in vehicular networks, heterogeneous devices, dynamism and scalability in video encoding, bandwidth underutilization in video delivery, and attaining application-precise quality of service in video streaming. In this context, this paper presents a comprehensive review on video streaming in IoT environments focusing on vehicular communication perspective. Specifically, the significance of video streaming in vehicular IoT environments is highlighted focusing on the integration of vehicular communication with 5G enabled IoT technologies, and smart city oriented application areas for VSV-IoT. A taxonomy is presented for the classification of related literature on video streaming in vehicular network environments. Following the taxonomy, critical review of literature is performed focusing on major functional model, strengths and weaknesses. Metrics for video streaming in vehicular IoT environments are derived and comparatively analyzed in terms of their usage and evaluation capabilities. Open research challenges in VSV-IoT are identified as future directions of research in the area. The survey would benefit both IoT and vehicle industry practitioners and researchers, in terms of augmenting understanding of vehicular video streaming and its IoT related trends and issues.

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Section: Application Area For Vehicular Video Streaming In Iot Enviromentioning

confidence: 99%

Towards video streaming in IoT Environments: Vehicular communication perspective

Aliyu

Abdullah

Kaiwartya

et al. 2018

Computer Communications

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“…It allows the traffic control agents to utilize microscopic data (e.g., vehicle positions, velocities, classes, etc.) that are available in video-detection systems (Płaczek and Staniek, 2007;Pamuła, 2012), vehicular sensor networks (Bernaś, 2012;Płaczek, 2012) and other modern traffic monitoring platforms. Since the results of prediction are represented by intervals, the uncertainty of control decisions can be analysed before execution of a control action.…”

Section: Related Work and Contributionmentioning

confidence: 99%

A self-organizing system for urban traffic control based on predictive interval microscopic model

Płaczek

2014

Engineering Applications of Artificial Intelligence

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This paper introduces a self-organizing traffic signal system for an urban road network. The key elements of this system are agents that control traffic signals at intersections. Each agent uses an interval microscopic traffic model to predict effects of its possible control actions in a short time horizon. The executed control action is selected on the basis of predicted delay intervals. Since the prediction results are represented by intervals, the agents can recognize and suspend those control actions, whose positive effect on the performance of traffic control is uncertain. Evaluation of the proposed traffic control system was performed in a simulation environment. The simulation experiments have shown that the proposed approach results in an improved performance, particularly for non-uniform traffic streams.

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“…In the first scenario a priority vehicle sends preemption request to the traffic control unit as it approaches the intersection and the control unit responds immediately by switching traffic lights. This scenario corresponds to the current solutions that utilize the vehicle-to-infrastructure (V2I) communication [11,12]. The new approach with VSN-aided preemption is considered in the second scenario.…”

Section: Introductionmentioning

confidence: 99%

Self-organizing Traffic Signal Control with Prioritization Strategy Aided by Vehicular Sensor Network

Lewandowski¹,

Płaczek²,

Bernaś³

2017

Computer Information Systems and Industrial Management

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Part 6: Modelling and OptimizationInternational audiencePreemption strategies are necessary for traffic signal control at intersections in a road network to ensure minimum delay of priority vehicles, such as ambulances or police cars. This paper introduces a decentralized algorithm, which extends the self-organizing signal control to provide preemption for the priority vehicles. The introduced algorithm enables effective utilisation of real-time data collected in vehicular sensor network (VSN). Results of simulation experiments show that the proposed approach ensures a quick passage of the priority vehicles and minimizes the negative effect of signal preemption on delays of non-priority vehicles. The new VSN-aided preemption strategy improves performance of the state-of-the-art methods that are based on road-side vehicle detectors and simple vehicle-to-infrastructure communication systems

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VANETs as a Part of Weather Warning Systems

Cited by 6 publications

References 9 publications

Towards video streaming in IoT Environments: Vehicular communication perspective

Towards video streaming in IoT Environments: Vehicular communication perspective

A self-organizing system for urban traffic control based on predictive interval microscopic model

Self-organizing Traffic Signal Control with Prioritization Strategy Aided by Vehicular Sensor Network

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