Cyberphysical Smart Cities Infrastructures

8Intelligent Traffic: Formulating an Applied Research Methodology for Computer Vision and Vehicle Detection

Gabrielle Bakker‐Reynolds, Emre Erturk, and Istvan Lengyel

Eastern Institute of Technology, School of Computing, Hawke's Bay, New Zealand

8.1 Introduction

8.1.1 Introduction

As the potential benefits of smart city services continue to attract attention, focus is placed on what new instruments and approaches may be deployed to achieve better results. Examining innovative technologies draws attention to computer vision, a field of computer science that enables computers to process, perceive, and identify images, mimicking how humans make sense of the physical world through different learning architectures [1].

In the recent years, one area of interest for computer vision is the ability to support traffic management systems. Since computer vision holds the capabilities to classify and detect objects, people, and visual details in real time, the ways in which it may assist the development of traffic management solutions are vast. Current examples of computer vision‐driven software solutions can be demonstrated within travel assistance and navigation, parking management and enforcement, real‐time traffic control, automated vehicle identification, and license plate recognition [2]. In traffic management solutions, computer vision tools can be used in conjunction with the Internet of things (IoT). However, the core city management objectives should generally determine their ...