A Review on Future Safety Mechanisms in Automated Vehicle Management Systems
Keywords:
Self-driving cars, Artificial Intelligence, GPS, auto-pilot, blind turnAbstract
This Concept is totally based on maximum safety provisions in future vehicles. The Main idea behind this concept is to provide such features with a lot of daily incidents which can be Fatal or Non-Fatal that can be easily avoided with the help of AI and the overall system. With an overall analysis most of the accidents take place with minor human errors and turn out to be fatal. The Basic idea behind this concept is to connect all cars/vehicles together via GPS, AI within a certain radius and the car can itself detect any incoming vehicles towards it from any direction and the AI can take the necessary controls of the car if the driver is not able to detect the car.
Downloads
References
Zhou, H., Zhang, X., Yang, B., & Xia, S. (2017). “Character segmentation in text line neural network. International Conference on Systems”. https://doi.org/10.1109-/icsai.2017.8248463
Prasad, J. R. (2023). “Handwritten Character Recognition -A Review”. www.academia.edu. https://www.academia.edu/9687HYPERLINK "https://www.academia.edu/96873658/Handwritten_Character_Recognition_A_Review"3658/Handwritten_Character_Recognition_
Chai, T. Y., & Nizam, I. (2021). “Impact of Artificial Intelligence In Automotive Industries Transformation”. ResearchGate. https: HYPERLINK "https://doi.org/10.24924/ijise/2021.04/v9.iss2/01.35"//doi.org/10.24924/ijise/2021.04/v9.iss2/01.35
Lee, E., Gerla, M., Pau, G., Lee, U., & Lim, J. H. (2016). “Internet of Vehicles: From intelligent grid to autonomous cars and vehicular fogs” International Journal of Distributed Sensor Networks, https://doi.org/10.1177/1550147716665500
McMurry, T. L., Poplin, G. S., Shaw, G., & Panzer, M. B. (2018). “Crash safety concerns for out-of-position occupant postures: A look toward safety in highly automated vehicles. Traffic Injury Prevention”. https://doi.org/10.1080/-15389588.2018.1458306
Kusano, K. D., & Gabler, H. C. (2013). “Characterization of Opposite-Direction Road Departure Crashes in the United States”. Transportation Research Record, 2377(1), 14–20. https://doi.org/10.3141/2377-02
Mateen, A., Abbas, G., Khatri, N., Lee, S., & Nam, S. M. (2022). Smart Roads for Autonomous Accident Detection and Warnings. Sensors, 22(6), 2077. https://doi.org/10.3390/s22062077
Xuxin, Z., Wang, X., Bao, Y., & Zhu, X. (2022). Safety assessment of trucks based on GPS and in-vehicle monitoring data. Accident Analysis & Prevention, 168, 106619. https://doi.org/10.1016/j.aap.2022.106619
Bucsuházy, K., Matuchová, E., Zůvala, R., Moravcová, P., Kostíková, M., & Mikulec, R. (2020). Human factors contributing to the road traffic accident occurrence. Transportation Research Procedia, 45, 555–561. https://doi.org/10.1016/j. HYPERLINK "https://doi.org/10.1016/j.trpro.2020.03.057"trpro.2020.03.057
Santosh. (2022, May 11). Safe Driving Tips for The Ghats - Things to Keep in Mind. www.drivespark.com. https://www.drivespark.com/how-to/safe-driving-tips-ghats-things-to-keep-in-mind-007123.html
Ministry of Road Transport & Highways -Annual report ‘Road accidents in India — 2021.’ (n.d.). https://www.pib.gov.in/PressReleasePage.aspx? PRID=1887097
Contributor, T. (2014). vehicle-to-vehicle communication (V2V communication). IoT Agenda. https://www.techtarget.com/iotagenda/definition/vehicle-to-vehicle-communication-V2V-communication
Miucic, R., Rajab, S., Bai, S., Sayer, J. R., & Funkhouser, D. S. (2015). Improving Motorcycle Safety through DSRC Motorcycle-to-Vehicle Communication. SAE Technical Paper Series. https://doi.org/10.4271/2015-01-0291
Darlis, D., Priramadhi, R. A., & Joni, K. F. M. (2021). Implementation of Vehicular-Visible Light Communication for motorcycle platooning. IOP Conference Series. https://doi.org/10.1088/1757-899x/1098/3/032023
Massey, B. F. (2015, February 10). EP3257034B1 - Proximity awareness system for motor vehicles - Google Patents. https://patents.google.com/patent/EP3257034B1/en
Zorkany, M., Yasser, A., & Galal, A. (2020). Vehicle To Vehicle “V2V” Communication: Scope, Importance, Challenges, Research Directions and Future. The Open Transportation Journal, 14(1), 86–98. https://doi.org/10.2174/-1874447802014010086
Naskar, T. B. a. K. G. M. P. S. (2018, December 1). SMS Controlled Unmanned Ground Vehicle. ijcseonline.org. https://www.ijcseonline.org/full_paper_-view.php?-paper_id=3427
Rouwet, W. (2022). Differentiation by use case. Elsevier eBooks, 349–363. https://doi.org/10.1016/b978-0-323-91923-4.00002-1
Gayathri, M., & Gomathy, C. (2022). AI-TASFIS: An Approach to Secure Vehicle-to-Vehicle Communication. Applied Artificial Intelligence, 36(1). https://doi.org/10.1080/08839514.2022.2145636
Zhao, M., Kumar, A., Ristaniemi, T., & Chong, P. H. J. (2017). Machine-to-Machine Communication and Research Challenges: A Survey. Wireless Personal Communications, 97(3), 3569–3585. https://doi.org/10.1007/s11277-017-4686-1
Bhat, M.I., Sharada, B., Imran, M., Obaidullah, S. (2022). Automatic Segmentation of Handwritten Devanagari Word Documents Enabling Accurate Recognition. In: Chbeir, R., Manolopoulos, Y., Prasath, R. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2021. Lecture Notes in Computer ScScience (vol 13119. Springer, Cham. https://doi.org/10.1007/978-3-031-21517-9_8