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Forecasting approach for Blind Spot Collision Alert

Published: 22 March 2021 Publication History

Abstract

Every year many accidents involving all categories of road users. However, some accidents are related to the blind spot, due to the deficiency of visibility in this zone, also lack of information or negligence. In this work, we focused on the road safety applications. The main of our researches is to alert the risk of blind spot collision. For this we designed a new approach, namely FBSCA, Forecasting Blind Spot Collision Alert, the driver alerts his neighbors for a possible accident related to the blind spot. The most interesting scenario testing includes the case where the vehicles need to exchange information in real-time in order to avoid traffic collisions when their visibility is hindered by road obstacles. For the implementation and testing of our approach we used popular network simulation tools such MOVE, SUMO and Ns2, we provided an assessment of proposed solution in order to alert the blind spot collisions for all neighboring vehicles.

References

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Bulumulle, G. 2017. Reducing Side-sweep Accidents with Vehicle-to-Vehicle Communications. Electronic Theses and Dissertations. 5370.
[2]
https://www.forbes.com/sites/tanyamohn/2017/08/29/driving-within-the-lines-lane-departure-warning-blind-spotdetectio-systems-help-prevent crashes/#2ded1fe26da3. visited le 21.11.2019 at 23.32.
[3]
Hang, M. and Wei, C. 2016, Potential Safety Benefit of the Blind Spot Detection System for Large Trucks on the Vulnerable Road Users in Taiwan, MATEC Web of Conferences, ICTTE. https://doi.org/10.1051/matecconf/20168102007
[4]
https://www.theglobeandmail.com/drive/culture/article-explaining-tech-blind-spot-detection/. peter nowak special to the globe and mail published JUNE 26, 2018.
[5]
https://www.lifewire.com/decoding-blind-spot-detection-534803.
[6]
http://www.2wired2tired.com/5-fantastic-safety-features-of-the-new-ford-explorer/blind-spot-information-systemmedium visited 11/11/ 2019 at 00:51
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Bektache, D., Tolba, C., Ghoualmi, N.Z. 2012. Forecasting Approach in VANET based Vehicle Collision Alert', International IEEE Conference Publication on Multimedia Computing and Systems, Tangiers-Morocco. ISBN: 978--146--731519--7 IEEE Explore Digital Library, pp 573--577.
[8]
Ranjendra, P. M. and Vima.Kumar, K. 2009. Panoramic sensor based blind spot accident prevention system, international journal of electronical and computer engineering, scholar.waset.org/1307--6892/3374, vol3 num 1, pp 132--138.
[9]
Le site de NS-2. http://www.isi.edu/nsnam/ns/.
[10]
Sumo project. http://sourceforge.net/projects/sumo/.
[11]
MOVE https://lens.csie.ncku.edu.tw/MOVE/download.php
[12]
Laouar, M.R., McHeick, H. Preface, ACM International Conference Proceeding Series, 2018.

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    ICIST '20: Proceedings of the 10th International Conference on Information Systems and Technologies
    June 2020
    292 pages
    ISBN:9781450376556
    DOI:10.1145/3447568
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 22 March 2021

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    Author Tags

    1. Alert
    2. Blind spot
    3. Safety application
    4. V2V communication
    5. VANET Network

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