Smart Occupancy Detection for Road Traffic Parking Using Deep Extreme Learning Machine
ByResearch Team
Abstract
This paper presents an intelligent system for detecting parking space occupancy in road traffic scenarios using deep extreme learning machine (DELM) techniques. The proposed solution addresses urban parking challenges by providing real-time, accurate occupancy detection.
Introduction
Urban parking management is a critical challenge in modern cities, affecting traffic flow, environmental pollution, and user experience. This research explores how deep learning and extreme learning machine algorithms can be combined to create efficient parking occupancy detection systems that help optimize urban traffic management and reduce congestion.
