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CASA: Safe and Green Driving Assistance System for Real-Time Driving Events

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Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (IntelliSys 2016)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 15))

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Abstract

The goal of Project CASA (Car Safety Apps) is to build an Android app, as an alternative to the traditional ADAS (Advanced Driving Assistance System), to promote secured and environmental-friendly driving. Our team is a composed of industrial and educational entities in France. In this paper, an innovative way of capturing real-time signals, combining them to determine the current driving situation, associate the required action and generate the corresponding message towards the driver and the vehicle will be presented. Every message is suitable to the real-time driving context and event. The novelties of this work are: (i) given the actual driving context, generate message to notify of incoming traffic event and inform of the danger present when driver incurs traffic rule infraction. Such messages are intended to promote secured and environmental-friendly driving, (ii) dynamic and real-time consideration of driver status, vehicle status, and of the environment (iii) providing priority level to traffic messages based on the danger involved in the scenario.

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Notes

  1. 1.

    http://www.peugeot.com/fr.

  2. 2.

    http://www.citroen.com/fr.

  3. 3.

    http://itsworldcongress.com/.

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Acknowledgment

We wish to acknowledge all our consortium collaborators, without whom this work would not have been made possible: PSA-Peugeot-Citroen, Continental, Nexyad, Oktal and DPS.

Author information

Authors and Affiliations

  1. LACSC Laboratory, ECE Paris Ecole d’Ingénieurs, 37 quai de Grenelle, 75015, Paris, France

    Manolo Dulva Hina

  2. LISV Laboratory, Université de Versailles Saint-Quentin-en-Yvelines, 10-12 avenue de l’Europe, 78140, Vélizy, France

    Manolo Dulva Hina, Hongyu Guan, Nan Deng & Amar Ramdane-Cherif

Authors
  1. Manolo Dulva Hina
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  2. Hongyu Guan
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  3. Nan Deng
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  4. Amar Ramdane-Cherif
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Corresponding author

Correspondence to Manolo Dulva Hina .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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Hina, M.D., Guan, H., Deng, N., Ramdane-Cherif, A. (2018). CASA: Safe and Green Driving Assistance System for Real-Time Driving Events. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-56994-9_67

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  • DOI: https://doi.org/10.1007/978-3-319-56994-9_67

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56993-2

  • Online ISBN: 978-3-319-56994-9

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