INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Using radio frequency identification (RFID) technology, this project aims to create an intelligent traffic system. It is developed and operated in such a way that fines are tracked independently. RFID technology, passive tags, a processing unit (computer), and a communication system were all utilized with low-cost equipment. The first level is represented by data collection via RFID, which scans any identifiable tag connected to cars. After that, information is received by server on internet connection. Modern era is usually growing with a aim to make people's each day obligations easier. One of the major issues facing developing cities is traffic management, which is exacerbated by increasing population density and vehicle numbers without expanding roads. Road congestion wastes time and fuel, resulting in increased pollution. This observe demonstrates that growing a traffic management system with the use of the Internet of Things (IOT) is achievable and inexpensive.
Keywords:
RFID technology, Raspberry pi, traffic management.
Cite Article:
"TRAFFIC VIOLATION DETECTION AND PENALTY GENERATION SYSTEM USING WEB SERVER", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 9, page no.422-427, September-2022, Available :http://www.ijnrd.org/papers/IJNRD2209049.pdf
Downloads:
000118752
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn