International Journal on Science and Technology

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SMART TRAFFIC DATA MANAGEMENT SYSTEM

Author(s) V.Pratp Kumar, V.Alex Babu, T.Bhanu Prasad, Dr.R.Shoba Rani, Dr. T.Kumanan, Mrs.R.Selva Meena
Country India
Abstract Efficient traffic management is crucial for sustainable urban development. The Smart Traffic Data Management System (STDMS) is designed to address traffic congestion and enhance mobility using machine learning and real-time data analytics. This system processes live traffic feeds, GPS data, and historical records to identify congestion patterns, optimize traffic signal timings, and provide alternate route suggestions. By utilizing predictive analytics, STDMS anticipates potential congestion zones, enabling authorities to take proactive measures. Unlike traditional traffic management systems, STDMS operates on existing infrastructure without requiring additional hardware, making it cost-effective. The proposed solution aids urban planners by generating actionable insights, ultimately reducing commute times and enhancing road safety (Li et al., 2023) [1].
Keywords Traffic Management, Machine Learning, Predictive Analytics, Real-Time Traffic Data, Urban Mobility
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-03
Cite This SMART TRAFFIC DATA MANAGEMENT SYSTEM - V.Pratp Kumar, V.Alex Babu, T.Bhanu Prasad, Dr.R.Shoba Rani, Dr. T.Kumanan, Mrs.R.Selva Meena - IJSAT Volume 16, Issue 2, April-June 2025.
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