SMART TRAFFIC DATA MANAGEMENT SYSTEM

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].

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-04-03
DOI
https://doi.org/10.71097/ijsat.v16.i2.3005
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

SMART TRAFFIC DATA MANAGEMENT SYSTEM

V.Pratp Kumar -, V.Alex Babu -, T.Bhanu Prasad -, Dr.R.Shoba Rani - et al.
International Journal on Science and Technology
Traffic Prediction and Management Techniques
article

SMART TRAFFIC DATA MANAGEMENT SYSTEM

V.Pratp Kumar -, V.Alex Babu -, T.Bhanu Prasad -, Dr.R.Shoba Rani -, T.Kumanan -, Mrs.R.Selva Meena -
article en

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].

International Journal on Science and TechnologyVol. 16(2)
Openalex Percentile: Top 94%
Traffic Prediction and Management Techniques
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