TRAFFIC ROUTE PREDICTION

Authors

  • MR. N. CHANDIRAPRAKASH Author
  • MUPPIDI SRIMAN Author
  • ALETI OMKAR Author
  • P IRFAN KHAN Author
  • LALITH KUMAR Author
  • CHEVVA MAHESH BABU Author

Keywords:

Traffic Rule, occasions

Abstract

Real time identification systems are very important and needful for safety, security
rule following and socialism and also for own safety concerns. Traffic rules are
important for safety as traffic laws are to prevent drivers of vehicles from causing
accidents or hitting pedestrians. They are also to help control the flow of traffic so that
it is more efficient. Traffic Rule Violations are leading cause of accidents, according
to WHO India is a leading country in casualties occurring on road. The current system
uses human interaction for rule violation detection, as it is a manual process it has
some limitations, on multiple occasions we find the system gets corrupt. An
alternative solution would be AI-developed System. With our system, we can detect
multiple rule violations, for example, Vehicle crossing signal during red light or
driving without a helmet, etc. Basic idea is to detect these violations through
preinstalled cameras. We can do it by ML based algorithm where we can detect the
violators by ImageProcessing, getting the number pate, categorizing violation
accordingly and issuing fine. Which will help increase the efficiency of traffic rule
enforcement.

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Published

14-05-2024

How to Cite

TRAFFIC ROUTE PREDICTION. (2024). International Journal of Information Technology and Computer Engineering, 12(2), 407-411. https://ijitce.org/index.php/ijitce/article/view/495

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