Mathematical Models Using Artificial Intelligence for Surveillance Systems

11Graph Neural Network and Imaging Based Vehicle Classification for Traffic Monitoring System

Shivam Sinha¹, Nilesh kumar Singh¹ and Lidia Ghosh²*

¹Department of Computer Science and Engineering, Institute of Engineering and Management, University of Engineering and Management, Kolkata, India

²Department of Computer Application, RCC Institute of Information Technology, Kolkata, India

Abstract

Efficient traffic management and transportation planning are pivotal for modern urban infrastructure. Central to these endeavors is the accurate classification of vehicles, which enables informed decision-making and optimized resource allocation. This chapter delves into the realm of advanced vehicle classification technologies, offering a comprehensive exploration of their foundational principles, data sources, and procedural methodologies. The taxonomy of vehicle classification technologies encompasses a diverse range of approaches. Sensor-Based Classification leverages data from physical sensors to discern vehicle attributes such as size and speed. Image and Video-Based Classification harnesses visual data from cameras and video feeds, extracting features like vehicle shape and color. Acoustic-Based Classification employs sound patterns captured by acoustic sensors to differentiate vehicle categories based on auditory signatures. Communication-Based Classification involves data exchanges between vehicles and infrastructure to infer vehicle types. Fusion-Based Classification amalgamates ...