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Design of an Intelligent Cooperative Road Hazard Detection Persistent System

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Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 940))

Abstract

Road hazards can cause dangerous accidents which lead to severe impacts on human safety, damage of vehicles and traffic flow deficiency. Therefore, numerous systems based on Vehicular Ad hoc Networks (VANET) have been proposed to prevent this kind of accidents and enhance road users’ safety. Nevertheless, these systems suffer from some problems, which can reduce their performance. For example, some of the proposed systems are autonomous; they do not exploit VANET to cooperate. In addition, as these systems offer more and more features, they treat a large amount of data, but without storage in a database. This can lead to the problems of congestion or loss of data. So, we propose in this paper a new system, entitled Cooperative Road Hazard Detection Persistent System (CopRoadHazDPS). This system is based on the use of (i) VANET communications to promote cooperation between vehicles, infrastructures and the Control Center, and (ii) Real-Time DataBases (RTDB) to manage data in real-time, effectively and accurately. It ensures the road safety in both cases of road hazards: obstacle detection and dangerous zone alert. Once a vehicle detects a road hazard, its Road Manager cooperates with the other components to analyze the situation and decides about the convenient actions to avoid accidents. Simulations of several driving scenarios in urban roads, within the Vehicles In Network Simulation (VEINS) framework, confirm that CopRoadHazDPS operates correctly and reduces the computing time.

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Authors and Affiliations

  1. MIRACL Laboratory, Faculty of Economics and Management of Sfax, University of Sfax, Airport Road, km 4, B.P. 1088, 3018, Sfax, Tunisia

    Islam Elleuch, Achraf Makni & Rafik Bouaziz

Authors
  1. Islam Elleuch
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  2. Achraf Makni
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  3. Rafik Bouaziz
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Corresponding author

Correspondence to Islam Elleuch .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Elleuch, I., Makni, A., Bouaziz, R. (2020). Design of an Intelligent Cooperative Road Hazard Detection Persistent System. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_65

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