Annex 16 : automated traffic monitoring for complex road conditions
Date
2018-03
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Recent advancements in computer vision and machine learning techniques have made traffic monitoring systems highly effective in well structured traffic conditions such as highways. But these systems struggle in handling complex and irregular conditions that exist in developing countries, due to lack of infrastructure and regulation. This research breaks down the problem into different sub-tasks such as vehicle detection, vehicle tracking, and vehicle recognition, then combines each process into one pipeline that can be used for traffic monitoring. Implementing the final pipeline involves improving and aggregating existing techniques. Results demonstrate the potential of these techniques for automated traffic monitoring.
Description
item.page.type
Journal Article
item.page.format
Keywords
TRAFFIC MANAGEMENT, AUTOMATION, URBAN SETTING, BIG DATA, SRI LANKA, MACHINE LEARNING, DATA MINING, URBAN ENVIRONMENT, TRANSPORT INFRASTRUCTURE, SOUTH ASIA, COLOMBO
Citation
DOI
Collections
2010-2019 / Années 2010-2019
Data / Données
IDRC Research Results / Résultats de recherches du CRDI
Research Results (I&N) / Résultats de recherches (I&R)
Research Results (INASSA) / Résultats de recherche (IRAAS)
Research Results (Networked Economies) / Résultats de recherche (Économies en réseaux)
Data / Données
IDRC Research Results / Résultats de recherches du CRDI
Research Results (I&N) / Résultats de recherches (I&R)
Research Results (INASSA) / Résultats de recherche (IRAAS)
Research Results (Networked Economies) / Résultats de recherche (Économies en réseaux)