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Investigation of the various driver recognition techniques and its behavioural characterization

Sucheta Sharma1 , Jyoteesh Malhotra2

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 1027-1031, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.10271031

Online published on Jun 30, 2018

Copyright © Sucheta Sharma, Jyoteesh Malhotra . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sucheta Sharma, Jyoteesh Malhotra, “Investigation of the various driver recognition techniques and its behavioural characterization,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1027-1031, 2018.

MLA Style Citation: Sucheta Sharma, Jyoteesh Malhotra "Investigation of the various driver recognition techniques and its behavioural characterization." International Journal of Computer Sciences and Engineering 6.6 (2018): 1027-1031.

APA Style Citation: Sucheta Sharma, Jyoteesh Malhotra, (2018). Investigation of the various driver recognition techniques and its behavioural characterization. International Journal of Computer Sciences and Engineering, 6(6), 1027-1031.

BibTex Style Citation:
@article{Sharma_2018,
author = {Sucheta Sharma, Jyoteesh Malhotra},
title = {Investigation of the various driver recognition techniques and its behavioural characterization},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1027-1031},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2293},
doi = {https://doi.org/10.26438/ijcse/v6i6.10271031}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.10271031}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2293
TI - Investigation of the various driver recognition techniques and its behavioural characterization
T2 - International Journal of Computer Sciences and Engineering
AU - Sucheta Sharma, Jyoteesh Malhotra
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1027-1031
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

As an element of IOT, IOV is a promising technology for connected vehicles.IOV involves the concept of smart driving which will be enabled only with the help of recognition of various drivers. There are various ways to predict the driver behavior. In this paper, an extensive literature review of various driver recognition mechanisms has been done. In doing so, we have classified the driving behavior according to different parameters. Some open issues and challenges have been computed so that work can be carried out on these issues.

Key-Words / Index Term

IoT, SIoVIoV, Driving Behavior

References

[1 ] Oppitz, M., & Tomsu, P. (2018). Internet of Things. In Inventing the Cloud Century (pp. 435-469). Springer, Cham.
[2] Rho, S., & Chen, Y. (2018). Social Internet of Things: Applications, architectures and protocols.
[3] Dressler, F., Klingler, F., Sommer, C., & Cohen, R. (2018). Not All VANET Broadcasts Are the Same: Context-Aware Class Based Broadcast. IEEE/ACM Transactions on Networking, 26(1), 17-30.
[4] Ng, B., & Scholz, L. (2018). U.S. Patent No. 9,883,353. Washington, DC: U.S. Patent and Trademark Office.
[5] Alam, K. M., Saini, M., & El Saddik, A. (2015). Toward social internet of vehicles: Concept, architecture, and applications. IEEE access, 3, 343-357.
[6] George, S. P., Wilson, N., Nair, K. U., Michael, K., & Aricatt, M. B. (2017). Social Internet of Vehicles.
[7] Maglaras, L. A., Al-Bayatti, A. H., He, Y., Wagner, I., & Janicke, H. (2016). Social internet of vehicles for smart cities. Journal of Sensor and Actuator Networks, 5(1), 3.
[8] Choi, S., Kim, J., Kwak, D., Angkititrakul, P., & Hansen, J. H. (2007, June). Analysis and classification of driver behavior using in-vehicle can-bus information. In Biennial Workshop on DSP for In-Vehicle and Mobile Systems (pp. 17-19).
[9] Aoude, G. S., Desaraju, V. R., Stephens, L. H., & How, J. P. (2012). Driver behavior classification at intersections and validation on large naturalistic data set. IEEE Transactions on Intelligent Transportation Systems, 13(2), 724-736.
[10] Cen, J., Wang, Z., Wang, C., & Liu, F. (2016). A System Design for Driving Behavior Analysis and Assessment. IEEE International Conference on Internet of Things, 882-887.
[11] Zhang, M., Chen, C., Wo, T., Xie, T., Bhuiyan, M. Z., & Lin, X. (2017). SafeDrive: Online Driving Anomaly Detection From Large-Scale Vehicle Data. IEEE Transactions on Industrial Informatics, 13(4), 2087-2096. doi:10.1109/tii.2017.2674661
[12] Bucchi, A., Sangiorgi, C., & Vignali, V. (2012). Traffic Psychology and Driver Behavior. Science Direct, 53, 973 – 980. [13] Cheng, C., & Zongxin, W. (2013). Design of a System for Safe Driving Based on the Internet of Vehicles and the Fusion of Multi-aspects Information. 2013 Ninth International Conference on Computational Intelligence and Security, 692-700. doi:10.1109/cis.2013.151
[14] Devare, A., Hand, A., Jha, A., Sanap, S., & Gawade, S. (2016). A Survey on Internet of Things for Smart Vehicles. International Journal of Innovative Research in Science, Engineering,and Technology, 5(2), 1212-1217.
[15] Yang, F., Wang, S., Li, J., Liu, Z., & Sun, Q. (2014). An overview of the Internet of Vehicles. China Communications, 11(10), 1-15. doi:10.1109/cc.2014.6969789
[16] Angkititrakul, P., Miyajima, C., & Takeda, K. (2011). Modeling and adaptation of stochastic driver-behavior model with application to car following. 2011 IEEE Intelligent Vehicles Symposium (IV). doi:10.1109/ivs.2011.5940464
[17] Maglaras, L., Al-Bayatti, A., He, Y., Wagner, I., & Janicke, H. (2016). Social Internet of Vehicles for Smart Cities. Journal of Sensor and Actuator Networks, 5(1), 3. Doi: 10.3390/jsan5010003
[18] Eboli, L., Mazzulla, G., & Pungillo, G. (2017). How drivers’ characteristics can affect driving style. Transportation Research Procedia, 27, 945-952. doi:10.1016/j.trpro.2017.12.024