Year: 2025
Type: article
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].
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409218691