The proposed AI-based traffic counting system provides a practical and efficient alternative to conventional manual traffic surveys by delivering accurate, real-time traffic data with minimal human intervention, thereby supporting more effective urban transportation planning and management.
The developed and implementation of an AI-based traffic violation detection system designed to automate the monitoring of road traffic violations using CCTV footage and computer vision techniques provides a practical and innovative solution to contemporary traffic violation control and management challenges.
O. Famodimu, Mayowa Osundina, Dorachima Ifeanyi et al.· Asian Journal of Research in...· 0 citations
Conventional traffic management systems mainly depend on decision-tree and rule-based methods for controlling traffic flow. These methods generally provide only moderate accuracy and are often slow in identifying traffic conditions in real time. In addition, they have limited capability to adapt to changing traffic pat...
S. Murugaraj, S. S. Mallika, Ch. Gayathri· International Conference on...· 0 citations
Amneen is a crowd management system that uses Artificial Intelligence (AI) and Computer Vision (CV) to track crowd density in public places and prevent dangerous situations before they occur, and predicts congestion before it occurs.
Rsha Mirza, Dareen Alsulami, Amal Aljadani et al.· Engineering, Technology &...· 0 citations
The 10th AI City Challenge, held with ECCV 2026, marks a decade of community benchmarking for intelligent transportation, smart cities, and physical AI. Since its 2017 start with vehicle detection, classification, and tracking, the challenge has grown into a broad benchmark suite for multi-camera perception, multimodal...
Zhenghang Tang, Shuo Wang, David C. Anastasiu et al.· 8 citations· ⚡2
Traffic accidents caused by insufficient driver reaction time continue to be a major concern in road transportation safety. Forward Collision Warning (FCW) systems are widely recognized as an effective solution for reducing collision risks by providing early alerts to drivers. This study presents the development and pe...
Muhamad Ilham Rahman, Ramdhani, Yusep Sukrawan et al.· Jurnal Informatika, Teknolog...· 0 citations
Traffic congestion is a persistent challenge in rapidly urbanizing regions, including Penang Island, Malaysia, where growing vehicle demand increasingly exceeds road capacity. Quantitative understanding of traffic dynamics is therefore essential for evidence-based traffic management and infrastructure planning. While p...
Muhammad Fadhirul Anuar Mohd Azami, M. Misro, M. N. Ab Wahab et al.· Applied Sciences· 0 citations
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