Distributed Ledger-Based KYC Framework for Financial Credit Allocation

Abstract

Rapid urbanization and the exponential growth of vehicles have led to severe traffic congestion, increased travel time, fuel consumption, and environmental pollution in metropolitan cities.Traditional traffic control systems, which rely on fixed-time signals and manual monitoring, are inadequate to handle dynamic and unpredictable traffic conditions.This project proposes a Smart Traffic Management System designed to optimize traffic flow and reduce congestion using advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and real-time data analytics.The system integrates smart sensors, cameras, and GPS-enabled devices to continuously monitor traffic density, vehicle movement, and road conditions.Data collected from these sources is processed using machine learning algorithms to predict traffic patterns and dynamically adjust traffic signal timings.Additionally, the system provides real-time route guidance to drivers through mobile applications and digital signboards, helping to distribute traffic evenly across the road network.Emergency vehicle prioritization and incident detection mechanisms are also incorporated to enhance response efficiency and safety.