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A Novel Mobile CrowdSensing Architecture for Road Safety

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Innovations in Smart Cities Applications Volume 4 (SCA 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 183))

Abstract

Intelligent Transportation Systems have become an essential part of today’s transportation systems as they aim to enhance efficiency, safety and mobility. They rely particularly on various communication and sensing technologies to achieve their objectives. At this level, Mobile CrowdSensing presents a cost-efficient solution and provides interesting features for data collection which is a major component in ITS. However, it still faces some challenges such as lack of incentive mechanisms, data validation, privacy and security. These challenges motivate us to propose a Mobile CrowdSensing architecture for our future SI-CAR (Secure and Intelligent Crowdsensing Application for Road Safety) application that integrates deep learning-based data validation, edge computing-based local processing for data privacy and gamification based-incentive mechanism.

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Acknowledgment

This research received funding from the Moroccan Ministry of Equipment, Transport and Logistics (METL) and the National Road Safety Agency (NARSA) and was supported by the Moroccan National Center for Scientific and Technical Research (CNRST).

Author information

Authors and Affiliations

  1. IRDA, IT Rabat Center, ENSIAS, Mohammed V University in Rabat, Rabat, Morocco

    Wahiba Abou-zbiba & Houda Benbrahim

  2. SSL, IT Rabat Center, ENSIAS, Mohammed V University in Rabat, Rabat, Morocco

    Hajar El Gadi & Hanan El Bakkali

  3. Engineering Technology Department, University of Houston, Houston, TX, 77204, USA

    Driss Benhaddou

Authors
  1. Wahiba Abou-zbiba
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  2. Hajar El Gadi
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  3. Hanan El Bakkali
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  4. Houda Benbrahim
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  5. Driss Benhaddou
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Corresponding author

Correspondence to Wahiba Abou-zbiba .

Editor information

Editors and Affiliations

  1. Computer Engineering Department, Faculty of Sciences and Techniques, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Computer Engineering Department, Faculty of Engineering, Karabük University, Karabük, Turkey

    İsmail Rakıp Karaș

  3. CICS.NOVA - Interdisciplinary Centre of Social Sciences, Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal

    Domingos Santos

  4. Department of Sociology of Culture and Communication, Saint Petersburg State University, St. Petersburg, Russia

    Olga Sergeyeva

  5. Faculty of Sciences and Techniques, Association Méditerranéenne des Sciences et Technologies, Tangier, Morocco

    Anouar Abdelhakim Boudhir

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Abou-zbiba, W., El Gadi, H., El Bakkali, H., Benbrahim, H., Benhaddou, D. (2021). A Novel Mobile CrowdSensing Architecture for Road Safety. In: Ben Ahmed, M., Rakıp Karaș, İ., Santos, D., Sergeyeva, O., Boudhir, A.A. (eds) Innovations in Smart Cities Applications Volume 4. SCA 2020. Lecture Notes in Networks and Systems, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-030-66840-2_24

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  • DOI: https://doi.org/10.1007/978-3-030-66840-2_24

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  • Online ISBN: 978-3-030-66840-2

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