ARCHIVES

1. Wang J., Chen, Z., Li P., Sheng B., & Chen R (2019), ‘Real-time Non-Motor Vehicle Violation Detection in Traffic Scenes’ 2019
IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), pp. 724728.
2. Wonghabut, P., Kumphong, J., Ung-arunyawee, R., Leelapatra, W., & Satiennam, T (2018), ‘Traffic Light Color Identification for
Automatic Traffic Light Violation Detection System’ International Conference on Engineering, Applied Sciences, and Technology
(ICEAST), pp. 1-4.
3. Rhen Anjerome Bedruz, Aaron Christian P. Uy, Ana Riza Quiros, Robert Kerwin Billones, Edwin Sybingco, Argel Bandala, Elmer
P. Dadios (2019). “A Robotic Model Approach of an Automated Traffic Violation Detection System with Apprehension” 2018 IEEE
10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and
Management (HNICEM), pp. 1-4.
4. Samir A.Elsagheer Mohamed (2019).“Automatic Traffic Violation Recording and Reporting System to Limit Traffic Accidents: Based
on Vehicular Ad-hoc Networks (VANET)”. 2019 International Conference on Innovative Trends in Computer Engineering (ITCE), pp.
254-259.
5. Siddharth Tripathi, Uthsav Shetty, Asif Hasnain, Rohini Hallikar (2019), ‘Cloud-Based Intelligent Traffic System to Implement
Traffic Rules Violation Detection and Accident Detection Units’2019 3rd International Conference on Trends in Electronics and
Informatics (ICOEI), pp. 347-351.
6. Pooya Sagharichi Ha, Mojtaba Shakeri, “License Plate Automatic Recognition based on Edge Detection”.
7. Amey Narkhede, et al, “Automatic Traffic Rule Violation Detection and Number Plate Recognition”, IJSTE -International Journal
of Science Technology & Engineering | Volume 3 | Issue 09 | March 2017.