Accident Prevention System using IR Sensors
DOI:
https://doi.org//10.32628/CSEIT206244Keywords:
Internet of Things(IoT), RNN, GPS, Accident, Driver Behavior.Abstract
As street security innovation advances so does the likelihood that we may one day see normal vehicle collides with be a terrible part of the past. It is not necessarily the case that fender benders will be cleared out all together, rather that their recurrence and reality will be limited to such a degree as to make them a factual irregularity. There have as of late been various promising mechanical advancements which guide the path toward the auto collision avoidance proportions of things to come. Overviews on different innovations have been viewed as, for example, VANETS, Wireless systems. IOT arrangement is given to stay away from street mishaps. This study paper could be utilized as a kind of perspective in the proposed framework. Remote gadgets have just been created to convey among vehicles and adjoining foundation in the dynamic driving situations.
References
- Cheng, Z., Chow, M. Y., Jung, D., & Jeon, J. (2017, June). A big data based deep learning approach for vehicle speed prediction. In 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) (pp. 389-394). IEEE.
- Ou, C., Ouali, C., Bedawi, S. M., & Karray, F. (2018, July). Driver Behavior Monitoring Using Tools of Deep Learning and Fuzzy Inferencing. In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-7). IEEE.
- Bose, B., Dutta, J., Ghosh, S., Pramanick, P., & Roy, S. (2018, February). D&RSense: Detection of Driving Patterns and Road Anomalies. In 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU)(pp. 1-7). IEEE
- Arbabzadeh, N., & Jafari, M. (2018). A data-driven approach for driving safety risk prediction using driver behavior and roadway information data. IEEE transactions on intelligent transportation systems, 19(2), 446-460
- Kang, H. B. (2013). Various approaches for driver and driving behavior monitoring: a review. In Proceedings of the IEEE International Conference on Computer Vision Workshops (pp. 616-623).
- WHO, "WORLD HEALTH ORGANISATION, " 2018. [Online].Available:http://www.who.int/violence_injury_prevention/road_traffic/en/.[Accessed 28 July 2018].
- P. S. Saarika, K. Sandhya and T. Sudha, "Smart transportation system using IoT, " in 2017 International Conference On SmartTechnologies For Smart Nation (SmartTechCon), India, 2017.
- Z. Garofalaki, D. Kallergis, G. Katsikogiannis, I. Ellinas and C. Douligeris, "A DSS model for IoT-based intelligent transportation systems, " in 2017 IEEE International Symposiumon Signal Processing and Information Technology (ISSPIT), Spain, 2017.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.