The demand for effective traffic management solutions has increased due to the fast urbanization and
rising vehicle density. IoT-enabled traffic surveillance systems have become a viable way to improve road
safety, traffic monitoring, and congestion management. Data security, real-time processing constraints,
interoperability problems, and high deployment costs are just a few of the major obstacles these systems must
overcome. This survey examines various remedies and offers a thorough examination of these issues. We look
at important approaches including 5G-enabled communication frameworks, edge computing, blockchain for safe
data sharing, and analytics powered by artificial intelligence. We also evaluate new developments and industry
best practices that improve the dependability and effectiveness of IoT-based traffic monitoring. Our results
emphasize how crucial it is to combine secure communication protocols with sophisticated data processing
methods in order to overcome current constraints. The purpose of this study is to help policymakers and
researchers create IoT-driven traffic control solutions that are more reliable and scalable.
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