Citation:

Shyamala K, Karthikeyan D, 2022. "Artificial Intelligence Based Zone Detection with Vehicle Speed Control System"ESP Journal of Engineering & Technology Advancements  2(4): 51-55.

Abstract:

Time is basic in state-of-the-art society; thus, anyone attempts to do commitments fast. to complete the work quick, we need increment the speed, including a vehicle. vehicle thickness is creating. Drivers don't view traffic control branch hints in certain areas. greatest drivers speed in precluded zones without clarification. this is on the grounds that drivers modify vehicle speed and overspeed. Over speeding cars intention additional mishaps. To cure those requesting circumstances, we exhorted utilizing video handling to mechanically change a vehicle's speed. It routinely eases back vehicles in obliged zones. For that, a minuscule digicam measurements the street scene, and CNN set of rules on a PC distinguishes and recognizes site guests signs/speed limits/workforce zones/clinical foundation zones to bring down vehicle speed and tell the main thrust with a ringer and lcd show.

References:

[1] K.Jayasudha and C.Chandrasekar, “An overview of data mining in road traffic and accident analysis”, Journal of Computer Applications, Vol.2, Issue.4, pp:32–37, 2009.
[2] Eric M Ossiander and Peter Cummings, “Freeway speed limits and traffic fatalities in Washington state”, Accident Analysis & Prevention, Vol.34, Issue.1, pp:13–18, 2002.
[3] William M Evanco, “The potential impact of rural mayday systems on vehicular crash fatalities”, Accident Analysis & Prevention, Vol.31, Issue.5, pp:455–462, 1999.
[4] KMA Solaiman, Md Mustafizur Rahman and Nashid Shahriar, “AVRA Bangladesh collection, analysis & visualization of road accident data in Bangladesh”, In Proceedings of International Conference on Informatics, Electronics & Vision, pp.1–6, IEEE, 2013.
[5] Sachin Kumar and Durga Toshniwal, “Analysing road accident data using association rule mining”, In Proceedings of International Conference on Computing, Communication and Security, pp.1–6, 2015.
[6] S.Krishnaveni and M.Hemalatha, “A perspective analysis of traffic accident using data mining techniques”, International Journal of Computer Applications, Vol.23, Issue.7, pp:40–48, 2011.
[7] Amira A El Tayeb, Vikas Pareek, and Abdelaziz Araar, “Applying association rules mining algorithms for traffic accidents in Dubai”, International Journal of Soft Computing and Engineering, 2015.
[8] L.Li, S.Shrestha and G.Hu, “Analysis of road traffic fatal accidents using data mining techniques”, IEEE 15th International Conference on Software Engineering Research Management and Applications (SERA), pp.363-370, 2017.
[9] Sami Ayramo, Pasi Pirtala, Janne Kauttonen, Kashif Naveed and Tommi Karkkainen, “Mining road traffic accidents”, Reports of the Department of Mathematical Information Technology Series C. Software and Computational Engineering, University of Jyvaskyla, pp.1-53, 2009.
[10] S. Shanthi and R. Geetha Ramani, “Classification of Vehicle Collision Patterns in Road Accidents using Data Mining Algorithms”, International Journal of Computer Applications (0975–8887), Vol.35, Issue.12, pp:30-37, 2011.
[11] S. Shanthi, R. Geetha Ramani, “Feature Relevance Analysis and Classification of Road Traffic Accident Data through Data Mining Techniques”, Proceedings of the World Congress on Engineering and Computer Science, Vol 1, 2012.
[12] Dharmendra Sharma and Suresh Jain, “Evaluation of Stemming and Stop Word Techniques on Text Classification Problem”, International Journal of Scientific Research in computer Science and Engineering, Vol.3, Issue.2, 2015.
[13] Mohnish Patel, Aasif Hasan, Sushil Kumar, “Preventing Discovering Association Rules For Large Data Base”, International Journal of Scientific Research in computer Science and Engineering Vol.1, Issue.3, 2013.
[14] Neeraj Chhabra, “Comparative Analysis of Different Wireless Technologies”, International Journal of Scientific Research in Network Security and Communication, Vol.1, Issue.5, 2013.
[15] V. Kapoor, “A New Cryptography Algorithm with an Integrated Scheme to Improve Data Security”, International Journal of Scientific Research in Network Security and Communication Vol.1, Issue.2, 2013.
[16] Sanjaikanth E Vadakkethil Somanathan Pillai. (2021). Balancing Precision and Privacy: Harnessing Location-Based Services in Healthcare Delivery. International Journal on Recent and Innovation Trends in Computing and Communication, 9(12), 50–56. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10963

Keywords:

CNN, Python, Vehicle speed, Pooling Layer